Project in Mathematics
Course Aim/s are: Provide experience with using mathematical knowledge and concepts to understand and solve a problem (Problem in real life or problem in specific field) Provide experience with relevant literature survey, experience with writing and presenting project proposals, and project reports.
Information Security and Cryptography
With this course students can cover the following areas: Introduction to security, Features of security systems, Threats and attacks on security, Computer system security, Network security, and Secure networks, Secure computer systems, Introduction to cryptography, Digital signatures, Program level security, OS security principles, exploitations, Security devices: Firewalls, IDS, IPS, etc., Secure designs, Client and server […]
Real Analysis II
The aim of this course is to introduce concept of limits of a function, continuity of a function, differentiability of a function and their applications.
Artificial Intelligence
With this course students can cover the following areas: Introduction, Reasoning, Propositional Logic, First-Order Logic, Defi nite Logic Programs, Intelligent, Agents, The Nature of the Environment, The Structure of Agents, Problem-Solving Agents, Example Problems, Searching for Solutions, Uninformed Search Strategies, Avoidance of Repeated States, Informed Search Strategies, Local Search Algorithms, Constraint Satisfaction Problem, Backtracking Search […]
Group Theory I
The aim of this course is to introduce the basic concepts of group theory, and methodology based on group theory as to understand Algebra.
Regression Analysis I
The aim of this course is to introduce linear regression analysis with emphasis on when and how to fit linear regression models using the method of least squares and how to assess the aptness of the model and make predictions.
Bio Statistics
The aim of this course is to introduce fundamental statistical designs used for data collection and provide competence in proposing a suitable design in simple settings and develop competence in using basic descriptive and inferential statistical tools for data analysis.
Data Communication
With this course students can cover the following areas: History of data communication and objective of the study, Communication Model – in General, Communication Model – Functional description, TCP/IP layered structure, ISO/OSI Model, Transmission Terminology, Analog and Digital Data Transmission, Transmission Impairments and Channel Capacity, Digital Data, Digital Signal, Digital Data, Analog Signal, Analog Data, […]
Digital Electronics
With this course students can cover the following areas: Introduction to Digital Electronics, Number Systems and Binary Arithmetic, Binary Code and other codes, Logic Gates, Boolean Algebra and Boolean expression minimization, Max. Term, Min Term and Canonical forms, Digital ICs, Combinational Circuits – Adders, Combinational Circuits – Other types of circuits, Sequential Logic Basics, Sequential […]
Theory of Computing
With this course students can cover the following areas: Introduction, Some fundamental concepts on alphabets and strings, Formal Languages, Finite Representation of Languages, and Grammars. Context fee Grammars, The Chomsky hierarchy of Grammars, Derivations, Derivation trees, Transition Systems, Introduction to Computational models, Power of machines, Finite State Machines, Computation with fi nite automation, Finite automation […]