Department of CSE

Bangladesh Army International University of Science and Technology

Cumilla, Bangladesh

BAIUST

Department of Computer Science and Engineering (CSE)

EDGE Project

Notices

Seat Range and Seat Layout for Term Final Exams, Fall-2025

Rescheduling of Examinations (Group-B & Combined Group), Term Final Examinations, Fall-2025

Overview

The Department of Computer Science and Engineering (CSE) at BAIUST holds a prominent position among the country’s educational institutions. It boasts state-of-the-art lab facilities and a dedicated team of faculty members who are passionate about their field. Currently, the fourteenth batch of students is thriving and excelling in their academic pursuits.

The department is committed to delivering quality services and facilities to ensure that students are exposed to the latest technology trends. Recognizing the rapid global advancement of technology and its impact on national economies, the department emphasizes industry-oriented learning as an effective mechanism for strengthening educational outcomes. Consequently, the Department of CSE at BAIUST actively collaborates with industry professionals from both national and international spheres.

Through successful partnerships with the Bangladesh Open-Source Network (BdOSN) and the ICT division of the People’s Republic of Bangladesh, the department has organized a series of programs, seminars, camps, and workshops. The BdOSN chapter at BAIUST works closely with the Department of CSE to foster industry-oriented learning, build problem-solving capabilities, and promote interactive collaboration with ICT experts. These initiatives contribute to the department’s journey toward becoming a center of excellence in innovation and research and development (R&D).
The department takes pride in its achievements thus far and remains confident in its ability to reach even greater heights in the future.

Program Details

Bachelor of Science in Computer Science and Engineering (B. Sc. in CSE)

The Department of Computer Science and Engineering (CSE) offers a 4-year B.Sc. course with a total of 154 credit hours. In addition to the conventional courses, the program includes some contemporary courses such as Web Technologies, Cloud Computing, Machine Learning, and Internet of Things. It also covers some inter-departmental courses such as Chemistry, Physics, Mathematics, Commerce, Humanities, Language, and Human Communication. These courses will help students to diversify their understanding of associated subjects.

Besides, one integrated design project and one capstone project are also included in the syllabus to help students develop technical, soft, and professional skills. Moreover, to achieve program-specific accreditation from the Board of Accreditation for Engineering and Technical Education (BAETE), the courses are designed with the Outcome Based Education (OBE) approach so that fresh graduates are duly prepared for jobs after completing the Bachelor of Science in Computer Science and Engineering (B. Sc. in CSE). The curriculum is already approved by the University Grant Commission (UGC). The newly designed OBE-based curriculum will be applicable to all students admitted in Spring-2022 and onwards. As part of the OBE process, in the future, further modifications shall be incorporated into the curriculum through Continuous Quality Improvement (CQI).

Course Structure at a Glance:

Program Educational Objectives:

Curriculum:

Computer & Simulation Lab The computer labs at BAIUST are equipped with built-in multi-media connected to HP Net server E 800 Windows NT local area network (LAN). The computers are connected to a host of other peripheral devices such as scanners, printers, digital cameras etc. All computers are connected to high speed broadband connection.
	Database Engineering Lab The Database Engineering Lab (DB Lab) has been designed and implemented for the courses related to Database Management Systems (DBMS). The lab is equipped with all modern facilities. Popular DBMS software like Oracle RDBMS, Microsoft SQL Server, MySQL, and Microsoft Access etc. have been configured in 36 Latest Dell OptiPlex machines. This lab is organized by keeping adequate spaces both for students and teachers so that they can easily interact with each other.
Software Engineering Lab The Software Engineering Lab is basically designed for courses related to the systematic development, operation and maintenance of software. It is equipped with 35 latest Dell OptiPlex machines and also provides suitable space for students to work together and interact with their instructor. All the machines are installed with the relevant software including Rational Rose and AutoCAD. The lab also has adequate projection facilities for presentations so that both the instructor can deliver the lecture content and the students can present their projects effectively.
	Computer Networking & CISCO Systems Lab The Networking and Telecommunications Lab carries teaching and research activities. The teaching activities of the lab include courses on computer architecture, computer networking and security, object-oriented programming and simulation. The main research areas of the lab are in IP routing and networked embedded systems. One of the major objectives of this lab is to turn it into a CISCO academy. This lab is equipped with 30 Latest Dell OptiPlex machines. The Lab also carries all the necessary CCNA Network equipment for attaining highest quality education which is the motto of BAIUST.
Microprocessor & Embedded Systems Lab Microprocessors Systems Lab provides students with hands-on experience with building, programming, testing, and debugging processors and Microcontrollers. This lab incorporates Software and hardware experiments with a Microprocessors & Microcontrollers system. Assembly language programming, simple input/output interfacing, serial parallel interfacing and interrupt processing in Microprocessors & Microcontrollers systems. The hardware consists 7 sets of 8086 Microprocessor Trainer Kit (LED) & 7 sets of Microcontroller Burner & ARM controller kits with all the adequate and modern amenities for providing the best hands-on learning and properly guided education with experience in BAIUST.
	High-Performance Computing Lab The High-Performance Computing (HPC) Lab of the Department of Computer Science and Engineering facilitates advanced teaching and research activities that require high computational power. The lab supports hands-on courses and projects in parallel computing, high-performance algorithms, numerical computing, scientific simulations, data-intensive computing, and advanced system programming. It also serves as a platform for research in performance optimization, large-scale data processing, and compute-intensive problem solving. The lab is equipped with high-end workstations featuring AMD Ryzen 7 processors, 32 GB high-speed DDR4 memory, and PCIe Gen4 NVMe SSD storage, ensuring fast computation and efficient data handling. Reliable power backup, modern displays, and quality peripherals create a stable and productive environment for students and researchers. The HPC Lab aims to strengthen practical skills and research capabilities in computation-driven domains, aligning with the academic and research objectives of BAIUST.
Artificial Intelligence & Data Science Lab The Artificial Intelligence & Data Science Lab supports both teaching and research activities of the Department of Computer Science and Engineering. The lab is primarily used for delivering hands-on courses related to artificial intelligence, machine learning, data science, deep learning, data analytics, simulation, and advanced programming. It provides students with a practical environment to design, implement, and evaluate intelligent systems and data-driven solutions. The lab is equipped with high-performance workstations powered by AMD Ryzen 7 processors, 32 GB high-speed DDR4 RAM, and NVMe SSD storage, ensuring efficient execution of computationally intensive AI and data processing tasks. Modern peripherals, IPS displays, and reliable power backup facilities further enhance the learning experience. This lab aims to foster innovation, research excellence, and industry-relevant skill development in the rapidly evolving fields of artificial intelligence and data science, in alignment with the academic mission of BAIUST.