Code: 071422101

Credits: 3.00

Course Description: Computing, robotics, and other electronic applications are made possible by Digital Logic. Electrical engineering and computer engineering both depend on digital logic design. Complex electronic components are created by Digital Logic designers using both electrical and computational properties. Students who complete this course will be able to design and evaluate both sequential and combinational logic circuits. Additionally, they will comprehend the fundamental software programs used in the development of digital circuits and systems.

Code: 071422102

Credits: 1.50

Course Description: This course will introduce students to topics such combinational and sequential circuit analysis and design, digital circuit design optimization techniques using arbitrary logic gates, multiplexers, decoders, registers, counters, and programmable logic arrays according to the CSE-207 course.

Code: 071422103

Credits: 3.00

Course Description: Database and database systems have become an essential component of everyday life in modern society. This course will acquaint the students with the knowledge of fundamental concepts of DBMS and its application in different areas, storage, manipulation and retrieval of data using query languages.

Code: 071422104

Credits: 1.50

Course Description: Students need to be knowledgeable database application developers. For that a solid formal foundation in database ideas, technology, and practice is required. The objective of this course is to maximize the relevance of the course to the industry while maintaining the long-term goals of rigor and foundational strength that can withstand the whims of technological advancements. It does this by including just the right number of concepts and theory to motivate and enrich the practical component and by including a technology component.

Code: 071422105

Credits: 3.00

Course Description: The variety of engineering problems that can be reliably solved has considerably expanded with the emergence of quick, cheap, and efficient computers. Numerical methods make use of computers to carry out iterative, step-by-step solutions to issues that would otherwise be difficult or impossible to resolve by manual calculations. The goal of this course is to provide a general introduction to numerical techniques that are relevant to scientists and engineers.

Code: 071422106

Credits: 3.00

Course Description: Understanding probability enables you to make well-informed choices regarding the likelihood of events based on a pattern of facts gathered. Statistical inferences are frequently employed in the context of data science to assess or forecast trends from data, and these inferences make use of probability distributions of data. By taking this course, students will gain knowledge of how to use appropriate statistical techniques to gather, organize, display, and analyze pertinent data. They will also learn how to distinguish between different types of data (qualitative, quantitative, discrete, and continuous), different types of sampling (random, stratified, systematic, and cluster), and statistical misuses.

Code: 071422107

Credits: 3.00

Course Description: Students who study social studies gain knowledge, skills, and attitudes about citizenship that will enable them to become capable and accountable citizens who are knowledgeable, thoughtful, involved in their communities, and who display moral and civic virtues. This course will help the students to understand the world they live in, so they can make wise judgments about issues affecting them, especially when they grow older.

Code: 071422108

Credits: 3.00

Course Description: Accounting enables students to develop the knowledge and skills to manage the financial affairs of individuals, communities, and businesses. From this course students will develop the knowledge and skills necessary to prepare and maintain financial records, manage financial affairs, act with integrity and contribute to the wider community.