| Code: CSE-400 | Credits: 3.00 |
Course Description: One of the most crucial topics in computer science that must be taken seriously is projects. When working on a project, students get the skills necessary to overcome challenges more skillfully. They frequently learn from failure and make improvements until they are happy with their work. A student will benefit from greater involvement and engagement with the course material, encouragement of higher order thinking and problem-solving abilities, growth of peer and professional networks, and interaction with future employers and career mentors.
| Code: CSE-405 | Credits: 3.00 |
Course Description: The term "Very Large Scale Integration" (VLSI) design refers to the process of assembling a single chip from millions of metal oxide silicon (MOS) transistors to produce integrated circuits (ICs). The design, integration, and production of semiconductor devices and circuits are covered in the course, along with related ideas and practical techniques. The course covers core design ideas and hands-on fabrication simulations for integrated circuits using silicon technology that may also be
| Code: CSE-422 | Credits: 1.50 |
Course Description: The students will gain a thorough understanding of semiconductor processing for integrated circuits and other junction devices through this course, covering testing and evaluation, ideas of yield, lab safety, assembly, and packaging.
| Code: CSE-4** | Credits: 3.00 |
| Code: CSE-4** | Credits: 0.75 |
| Code: CSE-4** | Credits: 3.00 |
| Code: CSE-4** | Credits: 0.75 |
| Code: CSE-421 | Credits: 3.00 |
Course Description: Using simulation and modeling, real-world issues can be safely and effectively solved. It offers an essential analytical technique that is simple to verify, explain, and comprehend. Through providing precise insights into complex systems, simulation modeling offers beneficial solutions across sectors and disciplines. It is widely utilized in a variety of fields, including engineering, manufacturing, the social and physical sciences, and product creation. The course provides an introduction to techniques for physical process simulation and modeling for use in control applications.
| Code: CSE-432 | Credits: 1.50 |
Course Description: The students' ability to solve problems effectively and safely in the actual world will be helped by this course. It will offer a crucial analytical approach that is simple to verify, explain, and comprehend.
| Code: CSE-433 | Credits: 3.00 |
Course Description: In this course, single layer and multilayer feed forward networks are used to present the fundamentals of neural networks and artificial neural networks. Additionally, it introduces fuzzy sets and elements of the fuzzy logic system and works with associate memories. This subject is crucial and beneficial for project work too. This course is designed to give the student a foundational understanding of neural networks and fuzzy logic.
| Code: CSE-434 | Credits: 1.50 |
Course Description: Through certain exercises from this course, the students will gain exposure to Artificial Neural Networks & Fuzzy Logic. Additionally, they will discover the significance of accommodating uncertainty and imprecision in the design of reliable, affordable intelligent devices.
| Code: CSE-434 | Credits: 3.00 |
Course Description: Digital signal processing makes it possible to transmit information via telephone and communications networks, monitor and control medical devices (such as pacemakers and hearing aids), and create and analyze images of the human body, the earth, and other planets. The number of applications is essentially infinite. The goal of this course is to teach students the fundamentals of DFT, FFT, Z Transforms, their computation, and how to create digital filters.
| Code: CSE-434 | Credits: 1.50 |
Course Description: Different digital signal processing techniques, such as sampling, impulse response, frequency response, finite and infinite impulse response systems, linear phase systems, digital filter design and implementation, discrete-time Fourier transforms, discrete Fourier transforms, and fast Fourier transform algorithms will all be practically taught to the students in this course.
| Code: CSE-439 | Credits: 3.00 |
Course Description: This course is designed as a survey course to teach students to design, implement, and maintain web databases. The Relational Database Model and the SQL language will be emphasized for this. The MySQL/Oracle DBMS will be used throughout the course in Lectures and in labs. Completion of this course provides the student with the initial knowledge required in preparation for consideration as an entry-level web database programmer.
| Code: CSE-440 | Credits: 1.50 |
Course Description: The course will provide the students with practical knowledge on implementing web database programming using the learning of CSE-439 course.
| Code: CSE-441 | Credits: 3.00 |
Course Description: Businesses can greatly benefit from data mining software since it helps people find hidden patterns for their own usage. Since these patterns are used in data analysis and forecasting, which increases business potential, they help to develop commercial linkages. The goal of this course is to identify patterns in otherwise unstructured or sizable data sets that can be used to draw conclusions or make predictions.
| Code: CSE-442 | Credits: 1.50 |
Course Description: Students who complete this course will have a thorough understanding of common data mining techniques and methodologies, including association rules, data clustering, and classification. They will also learn cutting-edge methods for novel applications.