Course Profiles of ECE Courses (Since Fall 2019)

C.  Information & Communication Engineering Core

These courses stress fundamental Information & Communication Engineering concepts (a total of 81 credit hours).

Course Number and Name                                                  Credit Hours
ICE 103 Structured Programming                                                  4
ICE 107 Object Oriented Programming                                             4
ICE 109 Electrical Circuits                                                     4
ICE 204 Discrete Mathematics                                                    3
ICE 207 Data Structures                                                         4
ICE 213 Electronic Circuits                                                     4
ICE 216 Signals & Systems                                                       3
ICE 217 Digital Electronics                                                     4
ICE 245 Algorithms                                                              4
ICE 275 Operating Systems                                                       3
ICE 302 Computer Communications & Networks                                      4
ICE 305 Database Systems                                                        4
ICE 310 Electromagnetic Theory                                                  3
ICE 312 Communication Theory                                                    3
ICE 313 Microprocessors & Interfacing                                           4
ICE 314 Digital Communications                                                  4
ICE 322 Digital Signal Processing                                               4
ICE 370 Applied Numerical Methods                                               3
ICE 439 Engineering Ethics                                                      3
ICE 441 Wireless & Mobile Communications                                        3
ICE 473 Project Management, Entrepreneurship and Industry Interaction           3
ICE 496 Capstone Project                                                        6
Total                                                                          81

ICE103: Structured Programming
Credit Hours and Teaching Scheme:

	Theory	Laboratory	Total
Credit Hours	3	1	4
Contact Hours	3 Hours/Week for 13 Weeks + Final Exam in the 14th week	2 Hours/Week for 13 Weeks	5 Hours/Week for 13 Weeks + Final Exam in the 14th week

Prerequisite: None

Course Contents: Programming Language: Concept of programming language and its classification; Programming logic and flow Chart; Structured Programming using C - Constants, variables and data types, arithmetic and logical operation, loops and decision making, user-defined functions, character and strings, arrays, pointers, structures, file management. The course includes lab work based on theory taught.

Recommended Textbook:

1.      The C Programming Language, Brian W. Kernighan, Dennis M. Richie.      

2.      Programming in ANSI C, E. Balagurusamy, McGraw-Hill Education.

Reference Book:

1.      Schaum's Outlines Programming with C, Byron Gottfried, McGraw-Hill.

Course Outcomes (COs): After completion of this course students will be able to

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Apply basic knowledge of C programming language to solve engineering problems.	PO1	Cognitive/ Apply	Written Exams	Class lectures
CO2	Apply appropriate decision making and control statements, functions, and arrays to solve engineering problems.	PO1	Cognitive/ Apply	Written Exams	Class lectures and brainstorming sessions
CO3	Apply pointers, strings, structures and unions to solve engineering problems.	PO1	Cognitive/ Apply	Written Exams, Assignment	Class lectures and brainstorming sessions
CO4	Develop and execute realistic C programs in the laboratory.	PO1	Cognitive/ Apply	Lab Reports	Conducting lab experiments

ICE107: Object Oriented Programming
Credit Hours and Teaching Scheme:

	Theory	Laboratory	Total
Credit Hours	3	1	4
Contact Hours	3 Hours/Week for 13 weeks+ Final Exam in the 14th week	2 hours/Week for 13 Weeks	5 Hours/Weeks for 13 Weeks+ Final Exam in the 14th week

Prerequisite: ICE103Structured Programming

Course Contents: Object Oriented Concepts: Classes, objects, methods, inheritance, and class methods.OO Programming in JAVA: Java foundation, control flow, abstract classes and packages, exception handling, applets, web-based Java application, multithreading.The course includes lab work based on theory taught.

Recommended Textbook:

1. Introduction to Java Programming, Daniel Liang, 11^th edition. 

Reference Book:

1.      The Complete Reference Java 2, Herbert Schildt, McGraw-Hill Osborne Media. 

Course Outcomes (COs): After completion of this course students will be able to:

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Apply basic knowledge of C programming language to solve engineering problems.	PO1	Cognitive/ Apply	Written Exams	Class lectures
CO1	Apply the basic concepts such as variables, conditional and iterative execution methods to write object-oriented programs.	PO1	Cognitive/ Apply	Written Exams	Class lectures
CO2	Implement classes, objects, invoking methods, and exception handling mechanisms to write object-oriented programs.	PO1	Cognitive/ Apply	Written Exams, Assignment	Class lectures and brainstorming sessions
CO3	Apply the principles of inheritance, polymorphism, encapsulation and abstraction to write object-oriented programs.	PO1	Cognitive/ Apply	Written Exams	Class lectures and brainstorming sessions
CO4	Develop and execute real-life object-oriented programs in the laboratory.	PO1	Cognitive/ Apply	Project reports, Lab experiments, Lab viva	Lab demonstration

ICE109: Electrical Circuits
Credit Hours and Teaching Scheme:

	Theory	Laboratory	Total
Credit Hours	3	1	4
Contact Hours	3 Hours/Week for 13 Weeks + Final Exam in the 14th week	2 Hours/Week for 13 Weeks	5 Hours/Week for 13 Weeks + Final Exam in the 14th week

Pre-requisite: None.

Course Contents:

Basic concept of DC circuits: Fundamental electrical concepts and measuring units, DC voltage, current, resistance and power. Introduction to circuit theory and Ohm's law, Kirchhoff's current and voltage laws. Simple resistive circuits: Series and parallel circuits, voltage and current division, Wye-Delta transformation. Various techniques for solving circuit problems: Mesh and Nodal analysis. Network theorems: Superposition theorem, Source transformation, Thévenin's and Norton's theorems; maximum power transfer theorem. Energy storage elements: Inductors and capacitors, series parallel combination of inductors and capacitors.

Basic concept of AC circuits: sinusoids, phasors, impedance and admittance. Basic circuit laws for AC circuits. Nodal and mesh analysis, network theorems for AC circuits. AC power analysis: instantaneous, average, complex, apparent and reactive power due to sinusoidal excitation, RMS values, power factor calculation and improvement. Three phase circuits: balanced and unbalanced, magnetically coupled circuits and introduction to transformer. Series and parallel resonant circuits and passive filters.The course includes lab work based on theory taught.

Recommended Textbook: 

1.  Fundamental of Electric Circuits, Charles K Alexander and Mathew N O Sadiku, Tata, McGraw Hill.

Reference Book:
1. Introduction to Electric Circuits, RC. Dorf, John Wiley.
2. Introductory Circuit Analysis, Robert L Boylestad.
3. Introduction to Electrical Circuits, Nilsson, Addison-Wesley.

Course Outcomes: After successfully completion of this course students will be able to:

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Apply basic circuit laws, analyze techniques, and theorem to solve DC and AC circuits in steady state.	PO1	Cognitive (Comprehension)	Written test, Assignment	Class Lectures
CO2	Evaluate DC and AC response in RL, RC, and RLC circuits.	PO1	Cognitive (Comprehension)	Written test	Class lectures and brainstorming sessions
CO3	Analyze three phase circuits in phasor domain to compute voltages, currents and powers.	PO1	Cognitive (Comprehension)	Written test	Class lectures and brainstorming sessions
CO4	Build and simulate DC and AC circuits in the laboratory.	PO1	Cognitive (Comprehension), Psychomotor	Lab Viva and lab Test, Lab performance	Conducting lab experiments

 

ICE204: Discrete Mathematics
Credit Hours and Teaching Scheme:

	Theory	Laboratory	Total
Credit Hours	3	0	3
Contact Hours	3 Hours/Week for 13 Weeks + Final Exam in the 14th week	0	3 Hours/Week for 13 Weeks + Final Exam in the 14th week

Prerequisite: ICE103 Structured Programming

Course Contents: Propositional logic, propositional equivalences, predicates and quantifiers, nested quantifiers, rules of inference, introduction to proofs, mathematical induction, sets, set operations, functions, relations and their properties, the basics of counting, the pigeonhole principle, permutations and combinations, algorithms, the growth functions, complexity of algorithms, the integers and division, primes and greatest common divisor, graphs, graphs terminologies and special types of graphs, representing graphs and graphs isomorphism, introduction to trees.

Recommended Textbook: 

1.Discrete Mathematics, Gary Chartrand and Ping Zhang, WAVELEND PRESS INC.

Reference Book:

1. Discrete Mathematics with Applications, Susanna S. Epp.

Course Outcomes (COs): After completion of this course students will be able to:

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Explain propositional logic, predicate logic, and proving theorem with mathematical reasoning.	PO1	Cognitive (Comprehension)	Written Exam	Class Lectures
CO2	Interpret counting, permutations, and combinations in combinatorial analysis.	PO1	Cognitive (Comprehension)	Written Exam	Class Lectures
CO3	Comprehend the growth of functions, complexity analysis of algorithms and integer algorithms for algorithmic thinking.	PO1	Cognitive (Comprehension)	Written Exam	Class lectures and brainstorming sessions
CO4	Apply knowledge of discrete structures to solve realistic engineering problems.	PO3	Cognitive (Application)	Written Exam and/or Assignment	Class lectures and brainstorming sessions

ICE207: Data Structures
Credit Hours and Teaching Scheme:

	Theory	Laboratory	Total
Credit Hours	3	1	4
Contact Hours	3 Hours/Week for 13 Weeks + Final Exam in the 14th week	2 Hours/Week for 13 Weeks	5 Hours/Week for 13 Weeks + Final Exam in the 14th week

Prerequisite: ICE107 Object Oriented Programming

Course Contents: Data types, abstract data types and data structures; Efficiency of algorithms; Sequential and linked implementation of lists; Linked list and applications; Stacks and queue and applications; Tree representations and traversals, Binary heaps, binary search tree, AVL tree, Searching; Graphs, DFS and BFS, shortest path and minimum spanning tree; Internal and external sorting. The course includes lab work based on theory taught.

Recommended Textbook:

1.Data Structures and Program Design in C, Kruse, Leung and Tondo, Prentice Hall.

Reference Book:

1.Data Structure and Algorithms in Java, Robert Lafore, Sams.

Course Outcomes (COs):

After completion of this course students will be able to:

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Understand the basics of data structures and algorithm	PO1	Cognitive (Comprehension+ Analysis)	Written Exam	Class Lectures
CO2	Develop knowledge of different data structures, arrays, linked lists, binary trees, stack, queues, and graphs etc.	PO1	Cognitive (Analysis+ Synthesis)	Written Exam, Assignment	Class lectures and brainstorming sessions
CO3	Apply knowledge of data structures to implement algorithm for the creation, insertion, deletion, searching, and sorting.	PO1	Cognitive (Comprehension+ Analysis)	Written Exam	Class lectures and brainstorming sessions
CO4	Choose appropriate data structures as applied to specific problem definition.	PO5	Cognitive (Application) Psychomotor (Origination+ Guided & Complex Response)	Lab Experiments, Lab Exam, Laboratory Project, Project Report	Lab Demonstration

ICE213: Electronic Circuits
Credit Hours and Teaching Scheme:

	Theory	Laboratory	Total
Credit Hours	3	1	4
Contact Hours	3 Hours/Week for 13 Weeks + Final Exam in the 14th week	2 Hours/Week for 13 Weeks	5 Hours/Week for 13 Weeks + Final Exam in the 14th week

Pre-requisite: ICE109

Course Contents:

Diode: Physical operation, terminal characteristics, load line analysis, circuit analysis, and its applications: rectifier, clipper, clamper.

Op-Amp: Ideal op-amp, inverter, non-inverter, difference amplifier, integrator, differentiator, and weighted summer. Design of different amplifier and instrumentation circuits using op-amps.

BJT: Physical operation, terminal characteristics, operating modes. BJT as amplifier and switch, DC biasing and small signal operations.

MOSFET: Physical operation, terminal characteristics, operating modes, biasing, amplification, small signal model, gain and MOSFET switch.

The course includes lab work based on theory taught.

Recommended Textbook: 

1.  Microelectronic Circuits, Sedra and Smith, Oxford University Press.

Reference Book:
1. Electronic devices and circuit theory, Robert L Boylestad, Prentice Hall.
2. Microelectronic Circuits and Devices, M. N. Horenstein, Prentice Hall.
3. The Art of Electronics, P. Horowitz and W. Hill, Cambridge University Press.

Course Outcomes:

After successful completion of this course students will be able to:

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Explain the physical operation and terminal characteristics of diodes, BJTs and MOSFETs.	PO1	Cognitive (Comprehension)	Written Exam	Class Lectures
CO2	Apply fundamental concepts to analyze diode with DC and AC biases.	PO1	Cognitive (Application)	Written Exam	Class lectures
CO3	Apply fundamental concepts to analyze BJT and MOSFET circuits with DC and AC biases.	PO1	Cognitive (Application)	Written Exam, Assignment	Class lectures
CO4	Apply fundamental concept to analyze simple op-amp circuits.	PO1	Cognitive (Application)	Written Exam	Class lecture & Software Simulation
CO5	Build and simulate electronic circuits; and perform measurements using electronic equipment.	PO5	Cognitive (Analysis), Psychomotor	Designed lab or open ended lab and/ or report	Lab Demonstration

ICE216: Signals & Systems
Credit Hours and Teaching Scheme:

	Theory	Laboratory	Total
Credit Hours	3	0	3
Contact Hours	3 Hours/Week for 13 Weeks + Final Exam in the 14th week		3 Hours/Week for 13 Weeks + Final Exam in the 14th week

Prerequisite: MAT205 Linear Algebra & Complex Variables

Course Contents: Signals and their properties; Basic operations on signals; Different types of signals; Relation between signals and systems; Linear Time-Invariant Systems: Introduction; Convolution: Impulse Response Representation for LTI Systems; Properties of the Impulse Response Representation for LTI Systems; Differential and Difference Equation Representations for LTI Systems; Block Diagram Representations; State Variable Descriptions for LTI Systems. Fourier Representations for Signals (both continuous-time and discrete-time). Application of Fourier analysis in signals. The Laplace Transform; Transform Analysis of Systems; Applications of Laplace Transform.

Recommended Textbook:
1. Signals & Systems, S. Haykin and B. Van Veen, Wiley & Sons.
2. Digital Signal Processing, S. Salivahanan and A. Vallavaraj, Tata McGraw Hill.

Reference Book:

1.    Signals & Systems, Alan V. Oppenheim, Prentice Hall. 

Course Outcomes (COs):

After completion of this course students will be able to:

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Explain the characteristics of different properties of signals and systems.	PO1	Cognitive (Comprehension)	Written exam	Class lectures
CO2	Analyze the response of LTI systems for different excitations.	PO2	Cognitive (Analysis)	Written exam and/or assignment	Class lectures and Assignments
CO3	Analyze the stability of LTI system.	PO2	Cognitive (Analysis)	Written exam and/or assignment	Class lectures and Assignments

ICE217: Digital Electronics
Credit Hours and Teaching Scheme:

	Theory	Laboratory	Total
Credit Hours	3	1	4
Contact Hours	3 Hours/Week for 13 Weeks + Final Exam in the 14th week	2 Hours/Week for 13 Weeks	5 Hours/Week for 13 Weeks + Final Exam in the 14th week

Pre-requisite: ICE213

Course Contents:

Review of Number systems and codes; Boolean operators (NOT, AND, OR, NAND, NOR, XOR, and XNOR); Boolean algebra and logic circuits: De Morgan's Theorem; Simplification of Boolean functions using Boolean algebra and Karnaugh map. Combinational circuit analysis: Adders, Subtractor, Encoder, Decoder, Multiplexer, Demultiplexer, ROM, PLA. Sequential logic circuits Analysis: Latch, flip flops, counters, Shift Registers, Memory: Classification, capacity calculation, SRAM, DRAM. Different logic families (TTL, ECL, IIL, CMOS) and performance parameters (Fan-out, Noise margin, noise immunity, power dissipation, propagation delay, delay-power product).

The course includes lab work based on theory taught.

Recommended Textbook:

1.  Digital Design, M. M. Mano, Prentice Hall.

Reference Book:
1. Digital Systems – Principles and Applications, Ronald J Tocci, Prentice Hall.
2. Digital Logic Design, Dr. Mozammel Huq Azad Khan, UGC.

Course Outcomes: After successful completion of this course students will be able to   

COs	CO Statements						POs		Domain			Assessment Strategy				Teaching-Learning Strategy
CO1	Synthesize logic functions using Boolean algebra, Karnaugh map, truth tables and fundamental logic gates.						PO1		Cognitive (Analysis)			Written Exam				Class Lecture
CO2	Design combinational and sequential logic circuits based on the given problem statement incorporating different logic elements and blocks.						PO1		Cognitive (Synthesis)			Written Exam, Assignment				Class Lecture
CO3	Explain the working principles of semiconductor memories and logic families.						PO1		Cognitive (Analysis)			Written Exam				Class Lecture
CO4	Synthesize, create, and demonstrate digital systems using ICs and simulation tools.						PO5		Cognitive (Application) Psychomotor (Origination+ Guided & Complex Response)			Lab Experiments, Lab Exam, Laboratory Project, Project Report				Demonstration and Feedback
		CO4						X

ICE245: Algorithms
Credit Hours and Teaching Scheme:

	Theory	Laboratory	Total
Credit Hours	3	1	4
Contact Hours	3 Hours/Week for 13 Weeks + Final Exam in the 14th week	2 Hours/Week for 13 Weeks	5 Hours/Week for 13 Weeks + Final Exam in the 14th week

Prerequisite: ICE207 Data Structures

Course Contents: Complexity of Algorithms: worst case, average case, and amortized complexity. Algorithm analysis. Algorithm design paradigms. Lists: stacks, queues, implementation, garbage collection. Dictionaries: Hash tables, binary search trees, AVL trees, red-black trees, splay trees, skip-lists, B-trees. Priority queues. Graphs: Shortest path algorithms, minimal spanning tree algorithms, depth-first and breadth-first search. Sorting: Advanced sorting methods and their analysis, lower bound on complexity, order statistics. The course includes lab work based on theory taught.

Recommended Textbook:

1. Data Structures and Program Design in C, Kruse, Leung and Tondo, PrentECE Hall.

Reference Book:

1.         Data Structure and Algorithms in Java, Robert Lafore, Sams.

Course Outcomes (COs):

After completion of this course students will be able to

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Apply asymptotic analysis to estimate worst-case running times of algorithm.	PO1	Cognitive (Comprehension + Analysis)	Written Exam	Class Lectures
CO2	Derive and solve recurrences based on performance evaluated by divide-and-conquer paradigm and explain when an algorithmic design situation calls for it.	PO1	Cognitive (Analysis + Synthesis)	Written Exam, Assignment	Class lectures and brainstorming sessions
CO3	Synthesize dynamic-programming and greedy algorithms.	PO1	Cognitive (Comprehension + Analysis)	Written Exam	Class lectures and brainstorming sessions
CO4	Apply different algorithm to model engineering problems and execute them in the laboratory.	PO5	Cognitive (Application) Psychomotor (Origination + Guided & Complex Response)	Lab Experiments, Lab Exam, Laboratory Project, Project Report	Lab Demonstration

ICE275: Operating Systems
Credit Hours and Teaching Scheme:

	Theory	Laboratory	Total
Credit Hours	3	0	3
Contact Hours	3 Hours/Week for 13 Weeks + Final Exam in the 14th week		3 Hours/Week for 13 Weeks + Final Exam in the 14th week

Prerequisite: ICE 245 Algorithms

Course Contents: Basic concepts of operating system; Operating systems hardware interaction; Process and thread management; Inter process communication; Scheduling algorithms for multi-tasking; Mutual exclusion principles and deadlock handling; Memory and I/O management. Storage Management; Implementing file management;

Recommended Textbook:

1. Operating Systems: Design and Implementation, Andrew Tanenbaum and Albert S. Woodhull, Prentice Hall.

Reference Book:

1.   Operating System Concepts, Silberschatz, Galvin and Gagne, Wiley.

Course Outcomes (COs):After completion of this course students will be able to:

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Understand and distinguish different components of modern operating system for examining design goals.	PO1	Cognitive (Knowledge)	Written Exam	Class Lectures
CO2	Apply resource management techniques for solving resource constrained problems.	PO2	Cognitive (Application)	Written Exam	Class lectures and brainstorming sessions
CO3	Comprehend and describe different methods of resource management and communication for operating system performance analysis and illustrate memory organization and I/O management techniques to demonstrate and master the knowledge for realistic problem analysis.	PO2	Cognitive (Analysis)	Written Exam and/or Presentation	Class lectures and brainstorming sessions

ICE302: Computer Communications & Networks
Credit Hours and Teaching Scheme

	Theory	LABORATORY	TOTAL
Credit Hours	3	1	4
Contact Hours	3 Hours/Week for 13 Weeks+ Final Exam in the 14th week	2 Hours/Week for 13 Weeks	5 Hours/Week for 13 Weeks+ Final Exam in the 14th week

Prerequisite: ICE245 Algorithms

Course Contents: Use of computer networks, network hardware and software; Layering, reference models and their comparison. Theoretical basis for data communication, transmission media and impairments, IEEE802.3, switching systems. Design issues, framing, MAC address, error detection and correction, elementary and sliding window protocols, examples of data link layer protocols. Ethernet, data link layer switching. Routing algorithms, congestion control, QoS, internetworking, IPv4 and IPv6 addressing, subnetting, VLSM, NAT, CIDR. Transport service, elements of transport protocols, port address, TCP and UDP. Client/server model, peer to peer model, Email, DNS, HTTP, HTTPS, FTP. The course includes lab work based on theory taught.

Recommended Textbook:

1. Computer Networks, Andrew S. Tanenbaum, Prentice Hall.

Reference Book:

1.  Data and Computer Communications, Stallings, MacMillan.

Course Outcomes (COs): After completion of this course students will be able to:

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Characterize network layers and related issues for designing computer networks	PO1	Cognitive (Comprehension)	Written exam	Class Lectures
CO2	Analyze different network algorithm and protocols for effective design of computer networks	PO2	Cognitive (Analysis)	Written exam	Class lectures and brainstorming sessions
CO3	Investigate several network security algorithms and future development trends in network security for Cyber-physical system	PO4	Cognitive (Analysis)	Term paper, Assignment	Class lectures and brainstorming sessions
CO4	Use software tools to design, test and evaluate real life computer network applications.	PO5	Cognitive (Analysis), Psychomotor	Lab Experiments, Lab Exam, Laboratory Project, Project Report	Lab Demonstration

ICE305: Database Systems
Credit Hours and Teaching Scheme:

	Theory	Laboratory	Total
Credit Hours	3	1	4
Contact Hours	3 Hours/Week for 13 Weeks +Final Exam in the 14th week	2 Hours/Week for 13 Weeks	5 Hours/Week for 13 Weeks +Final Exam in the 14th week

Prerequisite: ICE275Operating Systems

Course Contents: Concept & Overview of DBMS, Data Models, Database Languages, Database Administrator, Database Users, Three Scheme architecture of DBMS. Basic concepts, Design Issues, Mapping Constraints, Keys, Entity-Relationship Diagram, Weak Entity Sets, Extended E-R features. Structure of relational Databases, Relational Algebra, Relational Calculus, Extended Relational Algebra Operations, Views, Modifications Of the Database. Concept of DDL, DML, DCL. Basic Structure, Set operations, Aggregate Functions, Null Values, Domain Constraints, Referential Integrity Constraints, assertions, views, Nested Sub queries, Database security application development using SQL, Stored procedures and triggers. Functional Dependency, Different anomalies in designing a Database., Normalization using functional dependencies, Decomposition, Boyce-Code Normal Form, 3NF, Normalization using multi-valued dependencies, 4NF, 5NF. File & Record Concept, Placing file records on Disk, Fixed and Variable sized Records, Types of Single-Level Index (primary, secondary, clustering), Multilevel Indexes, Dynamic Multilevel Indexes using B tree and B+ tree.The course includes lab work based on theory taught.

Recommended Textbook:

1. Fundamentals of Database Systems, Elmasri and Navathe, Addison Wesley. 

Reference Book:

1.Database System Concepts, Abraham Silberschatz, Henry Korth and S. Sudarshan, McGraw-Hill. 

Course Outcomes (COs):

After completion of this course students will be able to:

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Adopt basic concepts of relational database and construct algebraic expressions.	PO1	Cognitive (Comprehension)	Written exam	Class Lectures
CO2	Analyze different query operations for data manipulation.	PO2	Cognitive (Analysis)	Written exam	Class lectures
CO3	Examine different models and optimization techniques to design efficient relational database system.	PO2	Cognitive (Analysis),	Written exam, Assignment	Class lectures and brainstorming sessions
CO4	Use software tools to build and test real life database.	PO5	Cognitive (Analysis), Psychomotor	Lab Performance, Open-ended Lab Project, Lab report & Viva	Lab Demonstration

ICE310: Electromagnetic Theory
Credit Hours and Teaching Scheme:

	Theory
Credit Hours	3
Contact Hours	3 Hours/Week for 13 Weeks + Final Exam in the 14th week

Pre-requisite: PHY 209

Course Contents:

Electrostatics: Review of vector analysis & co-ordinate systems (Rectangular, Cylindrical and Spherical), Divergence and curl concepts, Divergence theorem, Stoke’s theorem, Gauss’s theorem and its application, electrostatic potential, Laplace’s and Poisson’s equations, energy of an electrostatics system, conductor and dielectrics.

Magnetostatics: Concept of magnetic fields, Ampere’s law, Biot-Savart’s law, Vector magnetic potential, energy of magnetostatic system, Mechanical forces and torques in electric and magnetic fields.

Maxwell’s equations: their derivations, and continuity of charges, concept of displacement current, Boundary conditions, Time-varying and time-harmonic electromagnetic fields, Wave equations and its solutions, & Poynting’s theorem, Propagation of uniform plane waves in lossy and lossless media.

Recommended Textbook: 

1. Fundamental of electromagnetics, David K Cheng, Pearson.

Reference Books:

1.  Advanced Engineering Electromagnetics, Constantine A Balanis, Wiley and Sons.

Course Outcomes: After successful completion of this course students will be able to:

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Apply essential electrostatic theorems in solving various analytical & practical problems	PO2	Cognitive (Application)	Written Exam Assignments	Class Lectures, Brainstorming Sessions
CO2	Analyze the concepts of magneto-static fields and the relevant laws along with their applications for different structures.	PO2	Cognitive (Analysis)	Written Exam	Class Lectures, Brainstorming sessions
CO3	Analyze Maxwell’s equations & EM Wave equations to demonstrate the propagation of EM wave along with its basic properties, polarization states and birefringence.	PO2	Cognitive (Analysis)	Written Exam Assignments	Class Lectures Brainstorming Sessions
CO4	Comprehend time-harmonic EM fields and the properties of time-harmonic EM waves in different types of media such as lossy and lossless dielectrics, free-space & conductors.	PO1	Cognitive (Comprehension)	Written Exam Assignments	Class Lectures Brainstorming Sessions

ICE312: Communications Theory
Credit Hours and Teaching Scheme:

	Theory	Laboratory	Total
Credit Hours	3	0	3
Contact Hours	3 Hours/Week for 13 Weeks + Final Exam in the 14th week		3 Hours/Week for 13 Weeks + Final Exam in the 14th week

Prerequisite: ICE209 Signal & Systems

Course Contents: Stochastic Processes and Signals: Introduction; Definition of random processes and signals; Autocorrelation and cross correlation of random signals; Transmission of a random signal through a linear filter; Power spectral density functions of random signals; White noise; Stationarity; Ergodicity; Gaussian and Poisson processes; Narrow-band noise; Sine wave plus narrow-band noise. Continuous Wave Modulation and Noise: Introduction, Amplitude modulation and demodulation; frequency modulation and demodulation; Frequency-division multiplexing (FDM); Angle modulation; Noise in CW modulation systems; Noise in linear receivers; Noise in AM receivers; Noise in FM receivers; Phase-locked loop; Nonlinear effects in FM systems; Receiver model; Noise in DSB-SC receivers; Noise in SSB receivers; Noise in AM receivers; Noise in FM receivers. Pulse Modulation: Sampling process; Pulse-amplitude modulation; Time division multiplexing; Pulse-position modulation; Bandwidth-noise tradeoff; The quantization process; Pulse-code modulation; Noise consideration in PCM systems; Digital multiplexers; Linear prediction; Differential PCM; Delta modulation; Adaptive DPCM.

Recommended Textbook:

1.  Communications System, Simon Haykin, Wiley.
2.  Modern Digital & Analog Communication Systems, Lathi.

Reference Book:

1.    Digital Communications, John J. Proakis, McGraw Hill.

Course Outcomes (COs):

After completion of this course students will be able to:

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Explain various fields of communication by using random process, auto correlation, cross-correlation and PSD.	PO1	Cognitive (Comprehension)	Written test	Class Lectures
CO2	Explain different base band and pass band modulation and demodulation techniques.	PO1	Cognitive (Comprehension)	Written test	Class Lectures and Group Activity
CO3	Analyze noise affect in AM and FM modulation and understand PCM.	PO2	Cognitive (Analysis)	Written test or Assignment	Class Lectures

ICE313: Microprocessors & Interfacing
Credit Hours and Teaching Scheme:

	Theory	Laboratory	Total
Credit Hours	3	1	4
Contact Hours	3 Hours/Week for 13 Weeks + Final Exam in the 14th week	2 Hours/Week for 13 Weeks	5 Hours/Week for 13 Weeks + Final Exam in the 14th week

Pre-requisite: ICE217

Course Contents:

Microprocessor: Evolution and internal architecture of Intel8086 microprocessor. Addressing Modes. Data Movement Instructions, Arithmetic and Logic Instructions, Program Control Instructions. Intel 8086 Hardware Specifications: Pin outs and pin functions, clock generators, bus buffering and latching, bus timing, minimum and maximum mode operation. Memory Interfacing. Basic I/O Interfacing, Programmable Peripheral Interfaces (8255, 8254, 8279, ADC, DAC controllers). 8259 Programmable Interrupt Controller. DMA controller. Introduction to Pentium and upgraded processors. Introduction to Microcontrollers.

The course includes lab work based on theory taught.

Recommended Textbook: 

1.      The Inter Microprocessors 8088/8088, 80186, 80286, 80386 and 80486: Architecture, Programming and Interfacing, Barry B. Brey, Prentice-Hall.

Reference Book:

1.      Microprocessor and Interfacing, Douglas Hall, McGraw Hill.

Course Outcomes:  After successful completion of this course students will be able to

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Explain the architecture and different modes of microprocessor.	PO1	Cognitive (Knowledge)	Written Exam	Class Lectures and Classwork
CO2	Explain instruction set, ALP & illustrate the use of emulator.	PO1	Cognitive (Comprehension), Psychomotor (Origination + Guided & Complex Response)	Written Exam, Practical Assessment	Class Lectures and on-spot simulation tasks
CO3	Analyze the interfacing of memory and I/O devices, interface of microprocessor with PPI.	PO2	Cognitive (Analysis)	Written Exam	Class lectures And Brainstorming session
CO4	Comprehend DMA controller, Programmable Interrupt Controller and Advanced microprocessor.	PO1	Cognitive (Comprehension)	Written Exam	Class lectures
CO5	Design microcontroller based mini projects.	PO3	Cognitive (Synthesis), Psychomotor (Origination + Guided & Complex Response)	Project Work	Individual or Group Project

ICE314: Digital Communications
Credit Hours and Teaching Scheme:

	Theory	Laboratory	Total
Credit Hours	3	1	4
Contact Hours	3 Hours/Week for 13 Weeks + Final Exam in the 14th week	2 Hours/Week for 13 Weeks	5 Hours/Week for 13 Weeks + Final Exam in the 14th week

Prerequisite: ICE312 Communications Theory

Course Contents: Idea of baseband signal, Nyquist theorem of baseband signal and impulse response of such communication system, raised-cosine pulse in baseband communication, inter-symbol interference, eye diagram, power spectral density of different line codes, on-off binary transmission, the matched filter, properties of matched filter, linear and non-linear distortion channel, design of equalizer, concept of pass-band signal, digital modulation schemes (basic principle, modulator and demodulator, BER and constellation diagram): BFSK, BPSK, MPSK, QPSK and QAM,  basic principle of OFDMA,  PSD of analog band-pass and digital signals.

Recommended Textbook:
1. Digital and Analog Communication Systems, Leon W. Couch; Pearson Education
2. Digital Modulation Techniques; Fuqin Xiong, Artech House, Boston, London

Reference Book:      
1. Communication Systems, Simon Haykin, Wiley.
2. Modern Digital & Analog Communication Systems, Lathi.

Course Outcomes:

After successful completion of this course students will be able to:

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Discuss the desired properties of line codes and calculate their bandwidth from the generalized PSD of the digital signal.	PO1	Cognitive (Comprehension+ Analysis)	Written Exam	Class Lecture
CO2	Analyze and design optimum receiver to mitigate digital communication impairments.	PO1	Cognitive (Analysis+ Synthesis)	Written Exam	Class Lecture
CO3	Classify and analyze digital modulation techniques and compare their performance based on BER and bandwidth.	PO1	Cognitive (Comprehension+ Analysis)	Written Exam	Class Lecture
CO4	Design digital communication systems that meet specifications and evaluate the performance of the systems within realistic constraints.	PO3	Cognitive (Application+ Evaluation)	Laboratory Project+ Project Report	Lab Demonstration, Simulation and Feedback

ICE322: Digital Signal Processing
Credit Hours and Teaching Scheme:

	Theory	Laboratory	Total
Credit Hours	3	1	4
Contact Hours	3 Hours/Week for 13 Weeks + Final Exam in the 14th week	2 Hours/Week for 13 Weeks	5 Hours/Week for 13 Weeks + Final Exam in the 14th week

Prerequisite: ICE209 Signals & Systems

Course Contents: The z-transform: z-transform and ROC, properties of z-transform, analysis of LTI systems using z-transform; Discrete Fourier Transform: DFT and its inverse operation, circular and linear convolution using DFT; Fast Fourier Transform (FFT); IIR filter: Realization of IIR filters, direct form I and II, cascade and parallel, poly-phase decomposition, digital IIR filter design by bilinear transformation; FIR filter: frequency sampling structure, digital FIR filter design using window functions; Finite word length effect in digital filter; Multirate digital signal processing; Concept of adaptive filter.

Recommended Textbook:

1.    Digital Signal Processing, John G. Proakis, Prentice Hall.

 Reference Book:
1. Digital Signal Processing, Tarun Kumar Rawat, Oxford University Press.
2. Digital Signal Processing a Practical Approach, Emmanuel C. Ifeachor. Barrie W. Jervis; Addision-Wesley.
3. Digital Signal Processing a Computer Based Approach, Sanjit K. Mitra; Tata McGraw-Hill.

Course Outcomes (COs):

After completion of this course students will be able to:

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Adopt methodologies and properties of DT signals and LTI systems to analyze LTI systems in frequency and z-domain.	PO1	Cognitive (Application)	Written exam	Class Lecture
CO2	Implement different discrete-time LTI system by various structures.	PO1	Cognitive (Application)	Written exam	Class Lecture
CO3	Design filters of given specification under certain constraints.	PO3	Cognitive (Analysis), Affective (Responding)	Assignment or project report and presentation	Class Lecture and demonstration in the lab.
CO4	Analyze the effect of finite precision in DSP	PO1	Cognitive (Analysis)	Written exam	Class lecture
CO5	Use suitable tools to simulate DT signal and LTI systems and filter design.	PO5	Cognitive (Analysis), Psychomotor	Designed and/or open-ended lab performance and/or report	Class Lecture and demonstration in the lab.

ICE370: Applied Numerical Methods
Credit Hours and Teaching Scheme:

	Theory	Laboratory	Total
Credit Hours	3		3
Contact Hours	3 Hours/Week for 13 Weeks + Final Exam in the 14th week		3 Hours/Week for 13 Weeks + Final Exam in the 14th week

Pre-requisite: MAT205

Course Contents:

Basic Concept: Approximations and round-off errors, truncation errors.

Root of Equations: Bracketing methods – Bisection methods, Open methods – Newton-Raphson method.

Linear Algebraic Equations: Gauss Elimination – Naive Gauss, Gauss-Jordan. LU-decomposition, Gauss-Seidal method.

Curve Fitting: Least-square regression – Linear regression, polynomial regression. Interpolation – Newton divided-difference interpolating polynomials, Spline interpolation.

Numerical Differentiation and Integration: Newton-cotes integration formulae – Trapezoidal rule, Simpson’s rules, Numerical differentiation – Richardson Extrapolation, Derivatives of unequal spaced data.

Ordinary Differential Equation: Runga-Kutta Methods – Euler’s method.

The course includes lab work based on theory taught.

Recommended Textbook: 

1. Advanced Engineering Mathematics, E. Kreyszig, John Wiley.

Reference Book:
1. Numerical Methods for Engineers, Steven C. Chopra and Raymond P. Canale.
2. Engineering Mathematics, Neil, Thomson Learning.

Course Outcomes: After successful completion of this course students will be able to:

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Report comparative analysis among different algorithms through error analysis of existing numerical techniques.	PO1	Affective (Valuing)	Term Paper	Lecture and literature review
CO2	Formulate methods to represent engineering problems numerically.	PO2	Cognitive (Synthesis)	Assignment	Class lecture and Assignments
CO3	Identify the implications of approximations.	PO2	Cognitive (Comprehension)	Written Exam, Assignment	Class lecture and Assignments
CO4	Design numerical solutions using different techniques and simulation tools to analyze various engineering and practical problems.	PO5	Cognitive (Application), Psychomotor	Lab Experiments, Lab test, Open-ended Lab Project & Lab Report	Lab Experiments, Python Simulation, Projects Supervision and E-learning

ICE 439: Engineering Ethics
Credit Hours and Teaching Scheme:

	Theory
Credit Hours	3
Contact Hours	3 Hours/Week for 13 Weeks + Final Exam in the 14th week

Pre-requisite: ENG102

Course Contents:

Introduction: Engineering philosophy, engineering ethics and professionalism, ethical terminology. Ethical Issues in Engineering: Understanding ethical problems, qualities of engineers, moral codes. Responsibilities of Engineers: Commitment to society, sustainable development, technology and society, risk, safety, and liability. Institutional Ethics: Code of ethics, key concepts, importance, limitations. Rights of Engineers: Workplace rights, whistle blowing. Professionalism for International Engineers: Challenges of globalization.

Recommended Textbook:

1.      Engineering Ethics, Charles B. Fleddermann, Pearson.

Reference Book:

1. Introduction to Engineering Ethics (Basic Engineering Series and Tools), Mike Martin and Roland Schinzinger.

Course Outcomes:

After successful completion of this course students will be able to:

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Adopt the professional codes of conduct in ethical frameworks as an Information and communication Engineer.	PO8	Affective (Valuing), Affective (Responding)	Written exam, Role play	Class Lecture, On-spot tasks
CO2	Demonstrate and evaluate the compatibility of professional engineering work with the ethical and legal framework related to ICE.	PO7	Cognitive (Comprehension), Affective (Valuing)	Assignment, Case study	Class Lecture, Role-play
CO3	Formulate documents, terms and policies related to ICE profession, in accordance with the legal frameworks.	PO 10	Cognitive (Analysis), Affective (Responding), Psychomotor	Term paper	Class Lecture
CO4	Analyze and justify the policies related to ICE, in accordance with the Local and International legislature and its impact on society and culture.	PO6	Affective (Valuing)	Written exam	Class lecture, Brainstorming
CO5	Perform effective oral presentation on terms and policies related to ICE profession, in accordance with the legal frameworks.	PO9	Affective (Responding)	Oral Presentation	Group Activity

ICE 441: Wireless & Mobile Communications
Credit Hours and Teaching Scheme

	Theory	LABORATORY	TOTAL
Credit Hours	3	0	3
Contact Hours	3 Hours/Week for 13 Weeks+ Final Exam in the 14th week		3 Hours/Week for 13 Weeks+ Final Exam in the 14th week

Prerequisite: ICE314 Digital Communications

Course contents: Radio propagation characteristics: models for path loss, shadowing and multipath fading, delay spread, coherence bandwidth, coherence time, Doppler Spread, Jake's channel model. Digital modulation for mobile radio: analysis under fading channels, diversity techniques and RAKE demodulator. Introduction to spread spectrum communication. Multiple Access Techniques: FDMA/TDMA/CDMA. The cellular concept: frequency reuse, basic theory of hexagonal cell layout, spectrum efficiency. FDMA/TDMA cellular system; channel allocation schemes. Handover analysis. Cellular CDMA; soft capacity. Erlang capacity comparison of FDM/TDM systems and CDMA. Discussion of GSM standards, signaling and call control, mobility management, location tracing. Wireless data networking, packet error modeling on fading channels, performance analysis of link and transport layer protocols over wireless channels, wireless data in GSM, IS-95, GPRS and EDGE.

Recommended Textbook: 

• Wireless Communications & Networking, J.W. Mark and W. Zhauang

Reference Books:

• 1. Modern Wireless Communications, Simon Haykin and Michael Moher
• 2. Wireless Communications: Principles and Practice, Theodore S. Rappaport

Course Outcomes:

After successful completion of this course students will be able to:

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Calculate the path loss, fading profiles and effects of multi-path propagation in the wireless channel.	PO2	Cognitive (Analysis)	Written Exam	Class Lecture
CO2	Analyze and model receiver and transmitter diversity techniques.	PO2	Cognitive (Analysis)	Written Exam	Class Lecture
CO3	Analyze the effect of wireless path loss and channel fading on digital modulation techniques using computer simulation.	PO4	Cognitive (Analysis)	Report+ Oral Presentation	Simulation
CO4	Design cellular network with given quality of service (QoS) constraints.	PO2	Cognitive (Application)	Written Exam	Class Lecture
CO5	Report differences between cellular generations and propose future development in cellular systems on the basis of a thorough understanding of existing systems and of systems under development.	PO 12	Affective (Valuing)	Term Paper, Presentation	Demonstration, Brainstorming, Group Discussion and Feedback

ICE473: Project Management, Entrepreneurship and Industry Interaction
Credit Hours and Teaching Scheme:

	Theory
Credit Hours	3
Contact Hours	3 Hours/Week for 13 Weeks + Final Exam in the 14th week

Prerequisite: All 300 level courses

Course Contents:

General principles, process, and tools of project management. Teamwork and communication. Strategic issues in project management, cost analysis, risk and crisis management. Practical consideration in implementing project management in the industry. Project monitoring and evaluation. Project documentation and reporting. Role of entrepreneurship in the society, personality characteristics of successful entrepreneurs, sources of ideas for new ventures, sources of funding, development of the business plan.

Recommended Textbook:

1. A Guide to the Project Management Body of Knowledge, Project Management Institute.

Reference Book:

1.   An introduction to Project Management, Kathy Schwalbe.

Course Outcomes (COs):

After completion of this course students will be able to:

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Explain the principles, process, and tools of project management.	PO 11	Cognitive (Comprehension+ Synthesis)	Written Exam	Class Lecture
CO2	Understand budgeting and risk management and demonstrate the ethical principles and responsibilities and other practical considerations in project management.	PO8	Affective (Characterization by a value or value complex)	Project Report, Group Discussion	Class Lecture, Group discussion
CO3	Conduct project meetings, report progress, prepare documents.	PO 10	Cognitive (Comprehension+ Analysis)	Project Report	Class Lecture, On-spot Classroom tasks
CO4	Value the importance of entrepreneurship in the society	PO6	Cognitive (Application)	Project Report	Class Lecture, Brainstorming
CO5	Describe and demonstrate the basic requirements to become an entrepreneur with ability to evaluate the sustainability and the impact of professional engineering work in societal and environmental contexts.	PO7	Cognitive (Comprehension+ Application)	Written Exam, Assignment	Class Lecture
CO6	Communicate effectively sources of ideas for new ventures, sources of funding, and development of the business plan.	PO9	Affective (Characterization by a value or value complex)	Oral Presentation	Group Discussion & Role-Play

ICE496: Capstone Project
Credit Hours: 6

Prerequisite: Students must complete at least 100 credits hours.

Course Contents:

The Capstone project provides opportunity to the students to apply and integrate the knowledge and skills gathered through the earlier course works. Students will take the primary responsibility to identify, organize, plan and execute different tasks associated with the designing of a practical Information and Communication Engineering System or Component. Students will work on the projects in teams.

Course Outcomes (COs):

After completion of this course students will be able to:

COs	CO Statements	POs	Domain	Assessment Strategy	Teaching-Learning Strategy
CO1	Identify an appropriate topic that can be simulated and verified	PO 12	Affective (Characterization), Psychomotor	Preliminary report based on the literature research mentioning identified problem (At the end of the first semester.)	Literature Review, Brainstorming
CO2	Critically review and analyze the problem to identify theoretical possible solutions	PO2	Cognitive (Analysis)	Preliminary report based on the literature research mentioning possible theoretical solutions to the identified problem (At the end of the first semester.)	Literature Review, Brainstorming
CO3	Investigate the feasibility of the different solutions to select the most suitable one	PO4	Cognitive (Synthesis), Psychomotor	Presentation and/or preliminary report to deliver different possible identified solutions and justify the most suitable solution for the identified problem (At the end of the first semester.)	Literature Review, Group discussion & feedback based on the available solutions of the similar problems
CO4	Plan a project and perform different tasks of project management	PO 11	Cognitive (Application), Psychomotor	Presentation and/or written report to deliver viable project planning including financial aspect to implement the solution at the end of first semester (Each of the members should demonstrate skill of individual and group collaboration to convince the evaluator about the success of the project.)	Supervision of project-works
CO5	Design a solution (algorithm and flow chart) that meets the specifications	PO3	Cognitive (Evaluation), Affective (Responding)	Design the project in pen and paper to meet the specification and present the design in the group presentation at the end of the second semester.	Supervision of The Project Design
CO6	Incorporate the use of modern engineering tools (programming language) in the design, and verification processes	PO5	Cognitive (Evaluation), Psychomotor	Use suitable simulating tool to simulate the design and provide a group presentation at the end of the second semester.	Supervision of the design, and the verification processes
CO7	Work effectively in a team	PO9	Affective (Organization), Psychomotor	Peer level review (end of the second semester.)	Supervision of the teamwork
CO8	Understand ethical and professional responsibilities in the practice of information and communications engineering related to the project.	PO8	Affective (Valuing)	Peer level group discussion. (Identification and discussion on values related to the ethical issues of the project, these should be mentioned in the final thesis/report.)	Necessary Supervision
CO9	Asses societal, health, safety, legal and cultural issues related to the project	PO6	Affective (Valuing)	Peer level group discussion. (Identification and discussion on societal, health, safety, legal and cultural issues related to the project, these should be mentioned in the final thesis/report.)	Necessary Supervision & Feedback
CO 10	Demonstrate the understanding of the impact of the project on environment and sustainability	PO7	Cognitive (Comprehension), Affective (responding)	Final presentation	Necessary Supervision & Feedback
CO 11	Write professional technical documents related to the project and orally present project results	PO 10	Affective (Responding)Psychomotor	Final report and final presentation	Supervision of the Project Outcomes

Course Number & Name                                                     Credit Hours
ICE 453 Computer and Cyber Security                                         3
ICE 469 Computer Architecture                                               3
ICE 471 Network Programming                                                 4
ICE 472 Speech & Image Processing                                           4
ICE 474 Computer Graphics & Visualizations                                  3
ICE 476 Artificial Intelligence                                             3
ICE 478 Machine Learning                                                    3
ICE 479 Robotic Engineering                                                 3
ICE 483 Data Science                                                        3
ICE 484 Cyber Ethics and Legal Framework                                    3
ICE 485 Internet of Things                                                  3
Group B (Communication)
Course Number & Name                                                Credit Hours
ICE 401 VLSI Circuit Design                                                 4
ICE 434 Microwave Engineering                                               4
ICE 442 Optical Fiber Communications                                        4
ICE 446 Satellite Communications                                            3
ICE 448 Information Theory and Coding                                       3
ICE 452 Multimedia Communications                                           3
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