i. Learn fundamental knowledge on basics of computers, hardware, software, and number systems ii. Familiarize about the basic terminologies used in computer programming iii. Proficiently transform designs of problem solutions into a standard programming language iv. Use an integrated development environment (IDE) to write, compile, and execute programs involving a small number of source files v. Proficiently use fundamental programming elements including: variable declaration, data types and simple data structures (arrays, strings, and structures), decision structures, loop structures, functions/methods, input and output for console and text files vi. Apply debugging and testing techniques to locate and resolve errors and to determine the effectiveness of a program, vii. Have understanding of professionalism, codes of ethics and responsible conduct

At the end of this course students will be able: to apply knowledge of mathematics, science, and engineering to the analysis and design of electric circuits.  to identify and solve complex AC and DC circuits using network theorems.  to analyze different response curves both using simulation tool and experimental outcome.  to conduct investigations of complex circuits, considering design of experiments, analysis, interpretation of data, graph to provide valid conclusions.

 Systematically obtain the equations that characterize the performance of an electric circuit as well as solving both single phase and three-phase circuits in sinusoidal steady state.  Acknowledge the principles of operation and the main features of electric machines and their applications.  Acquire skills in using electrical measuring devices.  Be aware of electrical hazards and able to implement basic actions to avoid unsafe work conditions.

After completion of this course, students will 1. Apply knowledge of mechanics, Optics and Laser and electricity to explain natural physical processes and related technological advances. 2. Use an understanding of elementary mathematics along with physical principles to effectively solve problems encountered in everyday life, further study in science, and in the professional world. 3. Develop the ability to deal with physical models and formulas mathematically 4. Understand (and cope with) physics encountered in everyday life

On successful completion of this course, students should be able to: a. know the use of differential calculus and integral calculus in various field b. use computational tools to solve problems of differential and integral calculus c. identify, analyze and subsequently solve physical situations whose behavior can be described by calculus d. increase the knowledge of calculus and developed the skill to computation e. apply mathematical skills in engineering applications and real-world using calculus

• Understand the importance of verbal and non verbal communications • Use the norms of academic writing • Produce differnent genres of writing with cohesion and accuracy • Develop required presentation skill • Master the art of handling with visual and other hardware during presentation • Master common grammatical knowledge necessary to function in a real world.

Students will be able to: 1. Build conceptual and practical skills in building software projects in the C++ programming language to reasonably advanced level. 2. Involve analysis, design and implementation of solutions to programming problem

1. Knowledge of the structure and model of the Java programming language, (knowledge) 2. Use the Java programming language for various programming technologies (understanding) 3. Develop software in the Java programming language, (application) 4. Evaluate user requirements for software functionality required to decide whether the Java programming language can meet user requirements (analysis) 5. Propose the use of certain technologies by implementing them in the Java programming language to solve the given problem (synthesis) 6. Choose an engineering approach to solving problems, starting from the acquired knowledge of programming and knowledge of operating systems. (evaluation)

After the completion of this course, students will have a strong intuition and insight of the dynamics of electronic components like diodes, BJTs and JFETs, and Op-Amps which can be further used to design and optimize circuit performance. In addition, they will be able to perform:  Rectification of AC signal  Fixed and Self Biasing of BJT  Analyze Drain and Transfer characteristics of n-channel JFET  Mathematical operation using Op-Amp  Determination of frequency response curve of different types of filter by using Op-Amp

After the completion of this course, students will have a strong intuition and insight of the dynamics of electronic components like diodes, BJTs and JFETs, and Op-Amps which can be further used to design and optimize circuit performance. In addition, they will be able to perform:  Rectification of AC signal  Fixed and Self Biasing of BJT  Analyze Drain and Transfer characteristics of n-channel JFET  Mathematical operation using Op-Amp  Determination of frequency response curve of different types of filter by using Op-Amp

1. Organize, present and interpret statistical data, both numerically and graphically 2. Use various methods to compute the probabilities of events 3. Analyze and interpret statistical data using appropriate probability distributions 4. Recognize the role of and application of probability theory, descriptive and inferential statistics in many different fields. 5. Interpret and communicate the results of statistical analyses, orally and in writing.

On successful completion of this course, students should be able to: 1. Apply the fundamental concepts of Ordinary Differential Equations and Partial Differential Equations and the basic numerical methods for their resolution. 2. Understand the difficulty of solving problems analytically and the need to use numerical approximations for their resolution. 3. Use computational tools to solve problems and applications of Ordinary Differential Equations and Partial Differential Equations. 4. Formulate and solve differential equation problems in the field of Industrial Organization Engineering. 5. Identify, analyze and subsequently solve physical situations whose behavior can be described by ordinary and partial differential equations

1. Students will be able to learn a variety of ethical frameworks, privacy, intelligence property and relate them to arising ethical issues in cyberspace 2. Students will be able to address system security issues and their impact on individuals, organizations, and society 3. Students will learn the basic concepts in comput

After studying this course, students should be able to: 1. Prepare financial statements in accordance with Accounting Principles. 2. Explain the differences between management and financial accounting 3. Describe the main elements of financial accounting information – assets, liabilities, revenue and expenses

At the end of the course the students will  Develop Swing-based GUI  Develop client/server applications and TCP/IP socket programming  Update and retrieve the data from the databases using SQL  Develop distributed applications using RMI  Develop component-based Java software using JavaBeans  Develop server side programs in the form of servlets

1. Use logical notation to define and reason about fundamental mathematical concepts such as sets, relations, functions, and integers. 2. Evaluate elementary mathematical arguments and identify fallacious reasoning (not just fallacious conclusions). 3. Prove elementary properties of modular arithmetic and explain their applications in Computer Science, for example, in cryptography and hashing algorithms. 4. Apply graph theory models of data structures and state machines to solve problems of connectivity and constraint satisfaction, for example, scheduling. 5. Apply the method of invariants and well-founded ordering to prove correctness and termination of processes and state machines. 6. Calculate numbers of possible outcomes of elementary combinatorial processes such as permutations and combinations. 7. Calculate probabilities and discrete distributions for simple combinatorial processes; calculate expectations. 8. Demonstrate different traversal methods for trees and graphs. 9. Model problems in Computer Science using graphs and trees. 10. Problem solve and study in a small team with fellow students

• Learning vector analysis concepts. • Learning Complex Analysis concepts. • To improve the knowledge about Vector and Complex Analysis. • To improve the knowledge about practical application of vector analysis, as well as Complex Analysis.

a) Maintain social contact in different social situations, greet people, b) using French expressions for day-to-day life c) Introduce themselves and others d) Ask information about a person. e.g. ( name, age, nationality, profession, address, telephone number etc) e) Speak about their likings and preferences f) Write letters to new Francophone friends with self and family description g) Describe, show and locate objects; describe bedrooms, apartment etc h) Describe a person (physique, clothes, colours etc.) i) Converse with seller, asking price, likings, size etc j) Describe house, rooms, apartment; locate places, rooms in a layout k) Listen to and understand French used in different social / daily situation l) Read and understand texts at a reasonably beginners level m) Write effectively ( email, descriptive letter, completing form etc) n) Speak with moderate pronunciation and accuracy respecting social language

Upon successful completion of the course student will be able to:  Understand core economic terms, concepts, and theories;Understand nature of demand and supply;Understand behavior of consumer and producer; Understand different kinds of markets and how they function;Understand How the macroeconomy works;Interpret, analyze, and even predict macroeconomic issues in the very long run and the short run;Apply economic tools in engineering decision making

1. Able to perform the conversion among different number systems; Familiar with baisc logic gates-AND, OR & NOT, XOR, XNOR; Independently or work in team to build simple logic circuits using basic. 2. Understand Boolean algebra and basic properties of Boolean algebra; able to simplify simple Boolean functions by using the basic Boolean properties. 3. Able to design simple combinational logics using baisc gates. Able to optimize simple logic using Karnaugh maps, understand "don't care". 4. Familiar with basic sequential logic components: SR Latch, D Flip-Flop and their usage and able to analyze sequential logic circuits.

1. Able to perform the conversion among different number systems; Familiar with baisc logic gates-AND, OR & NOT, XOR, XNOR; Independently or work in team to build simple logic circuits using basic. 2. Understand Boolean algebra and basic properties of Boolean algebra; able to simplify simple Boolean functions by using the basic Boolean properties. 3. Able to design simple combinational logics using baisc gates. Able to optimize simple logic using Karnaugh maps, understand "don't care". 4. Familiar with basic sequential logic components: SR Latch, D Flip-Flop and their usage and able to analyze sequential logic circuits

Upon successful completion of the course, a student will be able 1. To develop an understanding of the core ideas and concepts of matrix algebra 2. To help the students enlarge the ability to solve problems using matrix and establish an information Engineering framework. 3. To expose students about Fourier analysis and its application in different physical sciences

Formulate new solutions for programing problems or improve existing code using learned algorithms and data structures evaluate algorithms and data structures in terms of time and memory complexity of basic operations.

After completing this course, the students will be able to write program with specific data structures such as linear lists, stacks, queues, hash tables, binary trees, heaps, trees, binary search trees, and graphs.

After completing this course, the students will be able to write program with specific data structures such as linear lists, stacks, queues, hash tables, binary trees, heaps, trees, binary search trees, and graphs.

Describe the fundamental elements of relational database management systems

Explain the basic concepts of relational data model, entity-relationship model, relational database design, relational algebra and SQL.

Design ER-models to represent simple database application scenarios

Improve the database design by normalization.

Familiar with basic database storage structures and access techniques: file and page organizations, indexing methods including B tree, and hashing.

Describe the fundamental elements of relational database management systems

Explain the basic concepts of relational data model, entity-relationship model, relational database design, relational algebra and SQL

Design ER-models to represent simple database application scenarios

Convert the ER-model to relational tables, populate relational database and formulate SQL queries on data.

Improve the database design by normalization.

Familiar with basic database storage structures and access techniques: file and page organizations, indexing methods including B tree, and hashing

After undergoing this laboratory module, the participant should be able to: • Understand, appreciate and effectively explain the underlying concepts of database technologies • Design and implement a database schema for a given problem-domain • Normalize a database • Populate and query a database using SQL DML/DDL commands. • Declare and enforce integrity constraints on a database using a state-of-the-art RDBMS

After successfully completing the course students will be able to Analyze the basics of Analog & Digital Communication System. Students will learn about source, transmitter, transmission channel, receiver etc. of communication model. Students will be able to know about different types of modulation schemes. Various types of multiplexing & multiple access techniques will be covered.

1. To understand and compare different digital modulation schemes. 2. To understand the design tradeoffs and performance of communications systems. 3. To learn about practical communication systems.

1. Characterize and analyze the properties of CT and DT signals and systems 2. Analyze CT and DT systems in Time domain using convolution 3. Represent CT and DT systems in the Frequency domain using Fourier Analysis tools like CTFS, CTFT, DTFS and DTFT. 4. Conceptualize the effects of sampling a CT signal 5. Analyze CT and DT systems using Laplace transforms and Z Transforms.

Students will be able to understand basics of numerical analysis and its application in the field of Science and Engineering.

Students will be able to apply numerical methods to obtain approximate solutions to engineering problems

Students will be able to learn computer programming with numerical packages, such as MATLAB.

Students will be able to write efficient, well-documented Matlab code and present numerical results in an informative way.

Students will be able to apply numerical methods for various mathematical operations and tasks, such as regression, the solution of linear and nonlinear equations; root finding; differentiation, integration, curve fitting and interpolation.

Students will be able to analyze and evaluate the accuracy of common numerical methods used for solving different engineering problems.

1. Argue the correctness of algorithms using inductive proofs and invariants. 2. Analyze worst-case running times of algorithms using asymptotic analysis. 3. Describe the divide-and-conquer paradigm and explain when an algorithmic design situation calls for it. Recite algorithms that employ this paradigm. Synthesize divide-and-conquer algorithms. Derive and solve recurrences describing the performance of divide-and-conquer algorithms. 4. Describe the greedy algorithm, its technique, analysis and utilization. 5. Describe the dynamic-programming paradigm and explain when an algorithmic design situation calls for it. Recite algorithms that employ this paradigm. Synthesize dynamicprogramming algorithms, and analyze them.

Describe, contrast and compare differing structures for operating systems.  Understand and analysis theory and implementation of: processes, resource control (concurrency etc.), physical and virtual memory, scheduling, I/O and files.  Analyze the structure of OS and basic architectural components involved in OS design.  4.Analyze the various device and resource management techniques for timesharing and distributed systems.  Understand the Mutual exclusion, Deadlock detection and agreement protocols of distributed operating system.

1.Testing various OS 2.Describe OS support for processes and threads; 3.Recognize CPU Scheduling, synchronization, and deadlock; 4. Use C / C++ and Unix commands, and develop various system programs under Linux to make use of OS concepts related to process synchronization, shared memory, file systems, etc.

✓ To understand and compare different digital modulation schemes. ✓ To understand the design tradeoffs and performance of communications systems. ✓ To learn about practical communication systems.

1. To understand and compare analog to digital and digital to analog conversion. 2. To understand the design tradeoffs and performance of digital filter 3. To learn about practical implementation of fourier transform.

1. To understand and compare analog to digital and digital to analog conversion. 2. To understand the design tradeoffs and performance of digital filter 3. To learn about practical implementation of fourier transform..

1.Build implementations of the Internet protocols 2.Understand the Internet protocols 3.Generalize this knowledge to other networking protocols. 4.Think like a networking practitioner 5.Read and judge articles on networking in trade magazines 6. Begin to read and judge research and technical articles on networking 7.Create simplicity and reliability out of complexity and unreliability

Students will be able to: 1. Understand the basics of Requirements Engineering 2. Prepare for, and undertake the requirements elicitation tasks 3. Analyse client needs 4. Create models of requirements using a variety of notations and techniques

After completing this course, students will be familiar with the fundamental concepts of telecommunication systems, its different parts, switching networks and current state-of-the-art in this field.

After the completion of Lab session students will be able to perform: 1. Ability to analyze the characteristics of the telephone systems. 2. Ability to define and distinguish digital and analog transmissions. 3. Ability to evaluate the digital services over analog carrier. 4. Ability to analyze the processes used in telecommunications.

1. To acquire the knowledge of Electromagnetic field theory that allows the student to have a solid theoretical foundation to be able in the future to design emission , propagation and reception of electro- magnetic wave systems. 2. To identify, formulate and solve fields and electromagnetic waves propagation problems in a multidisciplinary frame individually or as a member of a group. 3. To provide the students with a solid foundation in engineering fundamentals required to solve problems and to pursue higher studies

1. Analyze a web page and identify its elements and attributes. 2. Create web pages using XHTML and Cascading Styles sheets. 3. Build dynamic web pages using JavaScript (client side programming). 4. Write non-trivial programs using C#. 5. Build interactive web applications using ASP.NET and C#. 6. Build web applications using PHP. 7. Construct and manipulate web databases using ADO.NET. 8. Create XML documents. 9. Create XML Schema. 10. Build and consume web services

This course will provide you with detailed knowledge of important technologies and application that are used in the domain of Internet and web technology. Due to the broad nature of this field, the course covers only selected topics, focussing first on some advanced topics in Internet technologies and then a selection of current and next-generation applications and services. Student will learn how the Internet works and how services and applications are provided to users of the Internet. This knowledge will help you in the design and management of computer networks, as well as development and execution of Internet applications. On successful completion of this course, students should be able to analyse a web page and identify its elements and attributes, create web pages using HTML and Cascading Styles sheets, build dynamic web pages and applications using JavaScript (client-side programming) and PHP (server-side programming), focusing fronted, back end, servers, clients and web databases.

1) To improve the design quality of a software system 2) Learning design concepts 3) Learning design model

Students will be able to: 1. Explain the top 20 most common weaknesses in software security (CWE top 20) and understand how such problems can be avoided in software. 2. Identify common security threats, risks, and attack vectors for software systems. 3. Evaluate and assess current security best practices and defense mechanisms for current software systems. Become aware of limitations of existing defense mechanisms and how to avoid them. 4. Identify security problems in source code and binaries, assess the associated risks, and reason about their severity and exploitability. 5. Assess the security of given source code or applications.

Students should be able to: 1. Identify problems that are amenable to solution by AI methods, and which AI methods may be suited to solving a given problem. 2. Implement basic AI algorithms (e.g., standard search or constraint propagation algorithms)

1. Gain knowledge and understanding of microwave analysis methods. 2. Be able to apply analysis methods to determine circuit properties of passive/active microwave devices. 3. Know how to model and determine the performance characteristics of a microwave circuit or system using computer aided design methods. 4. Have knowledge of basic communication link design; signal power budget, noise evaluation and link carrier to noise ratio. 5. Have knowledge of how transmission and waveguide structures and how they are used as elements in impedance matching and filter circuits.

1. To make students familiar with various generations of mobile communications 2. To understand the concept of cellular communication 3. To understand the basics of wireless communication 4. Knowledge of GSM mobile communication standard, its architecture, logical channels, advantages and limitations. 5. Knowledge of IS-95 CDMA mobile communication standard, its architecture, logical channels, advantages and limitations. 6. Knowledge of 3G mobile standards and their comparison with 2G technologies. 7. To under multicarrier communication systems. 8. To differentiate various Wireless LANs.

To know about ICE Project Management, Methods, Frameworks 2) Learning Organizational Project Requirements

1) Able to understand the multimedia information representation such as text, images, audio & video. 2) Would be able to know the text and image compression techniques 3) Will understand the basics of audio and video compression process 4) Will know the standards for multimedia communications 5) Would be able understand different transport protocols

1. Apply information theory and linear algebra in source coding and channel coding 2. Understand various error control encoding and decoding techniques 3. Analyze the performance of error control codes

1. Able to work with various source coding 2. Can design new source coding methods 3. Able to work with various channel coding 4. Can design new channel coding methods 5. Able to work with how discrete channels and measures of information generalize to their continuous forms