Department of Computer Science and Engineering
Chairman's Message
Welcome to the Department of Computer Science and Engineering (CSE) at Uttara University. The Department of Computer Science & Engineering (CSE) is one of the oldest departments at Uttara University. It began its academic activities in 2003 with a mission to produce highly skilled graduates in the field of computer science and ICT, empowering the science and technology sector of our country by developing good researchers, engineers capable of competing in the international market, and IT professionals contributing to the vision of a "Digital Bangladesh."
The department offers a four-year B.Sc. (Engg.) program in Computer Science & Engineering, which follows a comprehensive curriculum aligned with both national and international standards. We also provide course or semester waivers for evening batch students (for the same B.Sc. in CSE program) who hold a four-year diploma in engineering. Additionally, the department offers an M.Sc. (Engg.) in CSE program with advanced topics related to computer science.
The department is well-equipped with a variety of specialized labs, including a computer programming lab, internet programming lab, digital and microprocessor lab, physics lab, VLSI and AI lab, computer simulation lab, and communication and networking lab, all with free Wi-Fi facilities for students. We have a dedicated team of thirty highly qualified and energetic faculty members, along with skilled technical and office staff.
Our department conducts research on cutting-edge topics such as image processing, computer vision, human-computer interaction, machine learning, pattern recognition, and computer security, among others. Faculty and student research papers are regularly published in national and international journals. Students have also participated in various programming contests, which have enhanced their programming skills.
The CSE Department hosts several clubs under the guidance of departmental faculty, including the Computer and Programming Club, Cultural and Debating Club, and Sports and Photography Club. Our mission is to discover new ICT-based ideas, promote knowledge, and apply them for the benefit of the nation. Our main goal is to educate learners to become assets in the field of science and technology, all at an affordable tuition cost.
Once again, I welcome you and encourage you to explore the CSE department at Uttara University.
Dr Mohammad Amanul Islam
Assistant Professor and Chairman
Department of Computer Science and Engineering
Department Overview
The Bachelor of Science (B.Sc. Eng.) program in Computer Science & Engineering offers students a strong foundation in core technical areas, along with exposure to cutting-edge technologies where their engineering contributions will be utilized. The program covers topics such as computer architecture, computer systems and networks, digital system theory and design, and software engineering.
In the spirit of lifelong learning, the university will build on its national and international reputation for innovative, student-centred programs that enable students from diverse backgrounds to achieve their educational goals. The university is committed to fostering academic excellence through a curriculum, teaching, scholarship, and services designed to contribute to the development of a knowledge-based society while ensuring quality education. By instilling moral values and nurturing the latent potential of students, the program prepares them to secure positions in the job market in a manner that is ethically sound, religiously affirmable, culturally harmonious, and intellectually competent.
Vision
To become globally recognized as a leading Computer Science and Engineering (CSE) department in terms of academic research, teaching excellence, and engineering impact.
Mission
- To achieve academic excellence in the field of Computer Science and Engineering through conducive teaching-learning process
- To achieve state-of-the-art research excellence by promoting interdisciplinary research among faculty members and students
- To induce ethical, professional and entrepreneurship spirit among the students so as to enable them to enormously contribute toward technology advancements at the national and international levels.
WHAT EXPERTISE DO WE BUILD UP?
- Real-life Programming to enhance problem-solving capabilities.
- Software Engineering knowledge to enhance software analysis and design capabilities.
- Expertise in Artificial Intelligence to meet the needs of intelligent and autonomous systems.
- Computer networking skills are needed to meet the needs of the modern connected world.
- Leadership and soft skills to meet the needs of the 21st century.
What lab facilities do we have?
- Software Engineering Lab
- Networking and Communication Lab
- Embedded Systems and IoT Lab
- High-Performance Computing Lab
- Cyber Security and Resilience Lab
- AI & Machine Learning / Generative AI Lab
- Data Science Lab
- General Purpose Programming Lab
- Competitive Programming Practice Lab
- Computer Interfacing Lab
- Computer Simulation Lab
- VLSI Lab
- Microprocessor and Embedded System Lab
- Electrical Circuit Lab
- Electronic Circuit Lab
- Physics Laboratory
Objectives
- To modernize and enhance the programs offered by the department through the incorporation of well-designed co- and extracurricular activities for the development of specific skills required by the industry.
- To build research programs, in particular multi-disciplinary ones, in order to facilitate the development of research and innovation skills of the students as well as of the faculty members.
- To build relationships with industry and funding agencies in order to enhance employability and research potential.
- To enhance the academic reputation and ranking of the department.
- Exhibiting their computing expertise within the computing community through corporate leadership, entrepreneurship, and/or advanced graduate study.
- Developing and implementing solution based systems and/or processes that address issues and/or improve existing systems within in a computing based industry.
Uttara University offers all the courses of study primarily in English. Teachers provide instruction to students in the classroom in English. English is also widely used as a medium of communication among the faculties, students, and administrative officials.
Undergraduate
BSc (Engg.) in Computer Science & Engineering
BSc (Engg.) in Computer Science & Engineering (For Diploma Holder)
Graduate
MSc (Engg.) in Computer Science & Engineering
DESCRIPTION OF THE PROGRAM
Bachelor of Science (Engg.) in Computer Science & Engineering (B.Sc. in CSE)
The Department of Computer Science & Engineering offers a program leading to a B.Sc. (Engg.) in Computer Science & Engineering (B.Sc. in CSE) with the goal of producing world-class professionals in the field. The program is designed to achieve a perfect blend of theory and practice, enabling students to steadily increase their engineering knowledge and skills. Through this program, students will receive comprehensive training in various environments and across diverse hardware and software platforms
Students will gain knowledge in key CSE fields, including Software Engineering, Web Programming, Computer Networking, Computer Architecture, Microprocessors, Machine Learning, Cloud Computing, and Cyber Security, preparing them to meet the challenges of the emerging ICT industry of the 21st century. Additionally, reflecting recent trends in tertiary engineering education, the CSE curriculum includes select interdisciplinary subjects, forming a broad base of knowledge to help students navigate the complex, multidimensional problems of the contemporary world.
To earn the B.Sc. (Engg.) in CSE degree, students are required to complete a minimum of 145 credits, typically over a period of four years. This total of 145 credits includes 7 credits in Language, History, and Culture-related courses; 18 credits in General Education courses; 15 credits in Basic Science and Engineering-related courses; 12 credits in Mathematics-related courses; 75 credits in Core Computer Science and Engineering courses; 12 credits in Elective courses; and 6 credits for Project/Internship work. Students must pass all courses individually and maintain a minimum CGPA of 2.0
Structure of the Curriculum
Duration of the Program
Years: 4 (Four)
Semesters: 8 (Eight)
Minimum Credit Requirement
The total minimum credits required to be completed in order to obtain the degree of B.Sc. (Engg.) in Computer Science and Engineering is 145.
Total Class Weeks in a Semester
The duration of a semester is six months, including class tests and mid-term and term final examinations. The duration of a semester is arranged as follows:
| Theory and Practical Classes | 14 weeks |
| Mid-Term Examination | 2 weeks |
| Semester Final Examination | 3 weeks |
| Total | 19 weeks |
There shall be two examinations: the Mid-Term and the Semester Final Examination. The Semester Final Examination will be held at the end of each semester upon completion of the coursework for that semester.
Minimum CGPA Requirements for Graduation
The performance of a student will be evaluated in terms of semester grade point average (GPA) and cumulative grade point average (CGPA) which is the grade average for all the semesters. For the award of the B.Sc. (Engg.) in CSE degree, a student shall have to earn all the credits offered by the Department of CSE and MUST secure a minimum CGPA of 2.0.
Maximum Academic Years of Completion
The course of study of the program has to be completed by a student over a maximum period of 14 (Fourteen) consecutive semesters.
Graduate Attributes
Graduate attributes referred to in this curriculum are divided into three groups, namely,
- knowledge profile
- Range of Complex Engineering Problem Solving and
- Range of Complex Engineering Activities
These graduate attributes are shown in Table 1, Table 2 and Table 3 below.
Table 1: Knowledge Profile
| Attributes | |
|---|---|
| K1 | A systematic, theory-based understanding of the natural sciences applicable to the discipline. |
| K2 | Conceto the discipline. |
| K3 | A systematic based mathematics, numerical analysis, statistics and the formal aspects of computer and information science to support analysis and modeling applicable c, theory-based formulation of engineering fundamentals required in the engineering discipline. |
| K4 | Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline: much is at the forefront of the discipline |
| K5 | Knowledge that supports engineering design in a practice area |
| K6 | Knowledge of engineering practice (technology) in the practice areas in the engineering discipline |
| K7 | Comprehension of the role of engineering in society and identified issues in engineering practice in the discipline: ethics and the engineer’s professional responsibility to public safety; the impacts of engineering activity; economic, social, cultural, environmental and sustainability |
| K8 | Engagement with selected knowledge in the research literature of the discipline |
Table 2: Range of Complex Engineering Problem Solving
| Attribute | Complex Engineering Problems have characteristic P1 and some or all of P2 to P7 |
|---|---|
| Depth of knowledge required | P1 : Cannot be resolved without in-depth engineering knowledge at the level of one or more of K3, K4, K5, K6 or K8 which allows a fundamentals-based, first principles analytical Approach |
| Range of conflicting requirements | P2 : Involve wide-ranging or conflicting technical, engineering and other issues |
| Depth of analysis required | P3 : Have no obvious solution and require abstract thinking, originality in analysis to formulate suitable models |
| Familiarity of issues | P4 : Involve infrequently encountered issues |
| Extent of applicable codes | P5 : Are outside problems encompassed by standards and codes of practice for professional engineering |
| Extent of stakeholder involvement and conflicting requirements | P6 : Involve diverse groups of stakeholders with widely varying needs |
| Interdependence | P7 : Are high level problems including many component parts or sub-problems |
Table 3: Range of Complex Engineering Activities
| Attribute | Complex activities mean (engineering) activities or projects that have some or all of the following characteristics: |
|---|---|
| Range of resources | A1 : Involve the use of diverse resources (and for this purpose resources include people, money, equipment, materials, information and technologies) |
| Level of interaction | A2 : Require resolution of significant problems arising from interactions between wide-ranging or conflicting technical, engineering or other issues |
| Innovation | A3 : Involve creative use of engineering principles and research-based knowledge in novel ways |
| Consequences for society and the environment | A4 : Have significant consequences in a range of contexts, characterized by difficulty of prediction and mitigation |
| Familiarity | A5 : Can extend beyond previous experiences by applying principles-based approaches |
Educational Objectives of the Program
In accordance with the vision and mission of the department, the program of B.Sc. (Engg.) in CSE has been designed with the aim of producing competent graduates who will establish themselves as successful professionals/entrepreneurs within a few years of time after graduation. The program involves the following educational objectives: the graduates of the program will
PEO1: Build up excellent careers as skilled professionals/entrepreneurs in the field of Computer Science and Engineering with the aptitude to learn and solve complex engineering problems in the fast-evolving computational field.
PEO2: Engage themselves in lifelong learning so as to attain continuous improvements in their professional/entrepreneurial careers.
PEO3: Engage themselves in multi-disciplinary research in order to advance research and innovation in multidisciplinary settings.
PEO4: Contribute substantially to society through professional and entrepreneurial roles and responsibilities with adherence to moral, ethical and sustainability standards.
Program Learning Outcomes
In order to achieve the educational objectives, the B.Sc. (Engg.) program in CSE has been designed with the following program learning outcomes (PLO).
PLO1: Engineering Knowledge
Apply knowledge of mathematics, natural sciences, engineering fundamentals and an engineering specialization as specified in the attributes of the knowledge profile (K1 to K4) respectively in Table 1 to the solution of complex computer science and engineering problems (EP1 to EP7) as specified in Table 2.
PLO2: Problem Analysis
Identify, formulate, research literature and analyze complex computer science and engineering problems (EP1 to EP7), reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences. (K1 to K4)
PLO3: Design/development of solutions
Design solutions for complex computer science and engineering problems (EP1 to EP7) and design systems, components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations. (K5)
PLO4: Investigations
Conduct investigations of complex computer science and engineering problems (EP1 to EP7) using research-based knowledge (K8) and research methods, including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
PLO5: Modern Tool Usage
Create, select and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, to complex computer science and engineering problems (EP1 to EP7), with an understanding of the limitations. (K6)
PLO6: The Engineer and Society
Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional computer science and engineering practice and solutions to complex computer science and engineering problems (EP1 to EP7). (K7)
PLO7: Environment and Sustainability
Understand and evaluate the sustainability and impact of professional computer science and engineering work in the solution of complex computer science and engineering problems (EP1 to EP7) in societal and environmental contexts. (K7)
PLO8: Ethics
Apply ethical principles and commit to professional ethics, responsibilities and norms of computer science and engineering practice. (K7)
PLO9: Individual Work and Teamwork
Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.
PLO10: Communication
Communicate effectively on complex computer science and engineering activities (EA1 to EA5) as specified in Table 3 with the computer science and engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PLO11: Project Management and Finance
Demonstrate knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work as a member and leader in a team to manage projects and in multidisciplinary environments.
PLO12: Life-Long Learning
Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Mapping the mission of the univeristy with the mission of the department
| Missions | DM1 | DM2 | DM3 |
|---|---|---|---|
| UM1 | √ | ||
| UM2 | √ | √ | |
| UM3 | √ |
- UM - UNIVERSITY MISSION
- DM - DEPARTMENT MISSION
Mapping of PEOs with mission of the department
| Missions | DM1 | DM2 | DM3 |
|---|---|---|---|
| PEO1 | √ | √ | |
| PEO2 | √ | ||
| PEO3 | √ | ||
| PEO4 | √ |
- DM - Department Mission
- PEO - Program Educational Objectives
Mapping of PLOs with the PEOs
| PLOs | PEO1 | PEO2 | PEO3 | PEO4 |
|---|---|---|---|---|
| PLO1 | √ | |||
| PLO2 | √ | |||
| PLO3 | √ | |||
| PLO4 | √ | √ | √ | |
| PLO5 | √ | √ | √ | |
| PLO6 | √ | |||
| PLO7 | √ | |||
| PLO8 | √ | |||
| PLO9 | √ | √ | ||
| PLO10 | √ | √ | ||
| PLO11 | √ | √ | ||
| PLO12 | √ |
Mapping courses with the PLOs
| Title | Details |
|---|---|
| Mapping courses with the PLOs | View |
Marks Distribution
| Particulars | Marks | |
|---|---|---|
| Class participation/Attendance | 10% | |
| Continuous Assessment | Class Performance, Quiz, Assignment, Viva Voce | 20% |
| Mid Term Examination | 30% | |
| Semester Final Examination | 40% | |
| Total | 100% | |
Admission Requirements
For the Bachelor of Science (Engg.) in Computer Science and Engineering (CSE) program, the entry-level requirement is an H.S.C. (Higher Secondary Certificate) or “A” Level in Science from any education board, including the Madrasha Board or a 3 or 4-year Diploma in Engineering from the Bangladesh Technical Education Board (BTEB) or equivalent education in Bangladesh. For students from foreign institutions, the entry-level will be determined by the appropriate authorities.
Students who have completed S.S.C. and H.S.C. with a science background must have a minimum of 2nd division or a minimum CGPA of 2.5 in both S.S.C. and H.S.C. to be eligible for admission. O-level students must have five subjects in O-level and two major subjects (Math and Physics) in A-level, with an average grade of C. Students with a Diploma in Engineering in fields such as Electrical, Electronics, Computer, Telecommunication, Power, Mechanical, Mechatronics, Automobile, Instrumentation and Process Control, Civil, Surveying, Shipbuilding, Data Telecommunication and Networking Technology, Aircraft Maintenance, Electro-Medical, Refrigeration and Air Conditioning, Marine, Chemical Engineering, or Glass and Ceramics are also eligible for admission, with course exemptions as per university guidelines.
Candidates are selected for admission based on past academic records, a written test, and a viva voce examination.
Admission Eligibility
A student should have at least second division or minimum GPA 2.5 in both SSC & HSC or equivalent examinations
or
A minimum GPA 2.00 in SSC or HSC or in equivalent examinations, but total GPA not less than 6.00
or
A student should have five subjects in “O” Level and 2 subjects in “A” Level. Out of these seven subjects in these two examinations, Grade B or GPA 4.0 in any four subjects and Grade C or GPA 3.5 in other three subjects
For the children of Freedom Fighters: A minimum total GPA 5.00 in SSC and HSC or in equivalent examinations.
Required Documents during Admission
- All Academic Certificates in original and photocopies
- All Mark Sheets/Transcripts in original and photocopies
- Three copies of colored passport size photograph
- One copy of colored stamp size photograph
Hotline: 01872607360-69
Apply Online: Click here for online application
Category of Courses
1. Language, History and Cultures related Courses
| Code | Course Title | Credit Hours |
|---|---|---|
| ENG0232101 | Communicative English | 3 |
| ENG0232102 | Communicative English Lab | 1 |
| GED0222101 | Bangladesh Studies: History and Cultures | 3 |
| Total | 7 | |
2. General Education related Courses
| Code | Course Title | Credit Hours |
|---|---|---|
| ECO0311101 | Engineering Economics | 3 |
| BUS0411301 | Financial and Managerial Accounting | 3 |
| GED0223101 | Professional Ethics and Environmental Protection | 3 |
| GED0413201 | Entrepreneurship: Innovation and Commercialization | 3 |
| MIS0611401 | Information Systems Management | 3 |
| MIS0611403 | System Auditing and Maintenance | 3 |
| Total | 6 Courses | 18 |
3. Basic Science and Engineering Related Courses
| Code | Course Title | Credit Hours |
|---|---|---|
| PHY0533101 | Physics | 3 |
| PHY0533102 | Physics Lab | 1 |
| EEE0713101 | Electrical Engineering | 3 |
| EEE0713102 | Electrical Engineering Lab | 1 |
| EEE0713201 | Electronics | 3 |
| EEE0714202 | Electronics Lab | 1 |
| CSE0611301 | Engineering Drawing | 3 |
| Total | 7 Courses | 15 |
4. Mathematics related Courses
| Code | Course Title | Credit Hours |
|---|---|---|
| MAT0541101 | Differential and Integral Calculus | 3 |
| MAT0541202 | Statistics and Queuing Theory | 3 |
| MAT0541102 | Linear Algebra | 3 |
| MAT0541201 | Engineering Mathematics | 3 |
| Total | 4 Courses | 12 |
5. Computer Science and Engineering Related Core Courses
| Code | Course Title | Credit Hours |
|---|---|---|
| CSE0613101 | Structured Programming Language | 3 |
| CSE0613102 | Structured Programming Language Lab | 1 |
| CSE0613201 | Object-Oriented Programming Language | 3 |
| CSE0613202 | Object-Oriented Programming Language Lab | 1 |
| CSE0613301 | Web Programming | 3 |
| CSE0613302 | Web Programming Lab | 1 |
| CSE0613207 | Java Programming | 3 |
| CSE0613208 | Java Programming Lab | 1 |
| CSE0611101 | Discrete Mathematics | 3 |
| CSE0613103 | Data Structure and Algorithms | 3 |
| CSE0613104 | Data Structure and Algorithms Lab | 1 |
| CSE0613305 | Automate Theory and Compiler | 3 |
| CSE0613306 | Automate Theory and Compiler Lab | 1 |
| CSE0613311 | Artificial Intelligence | 3 |
| CSE0613312 | Artificial Intelligence Lab | 1 |
| CSE0612301 | Database Management System | 3 |
| CSE0612302 | Database Management System Lab | 1 |
| CSE0613206 | Operating System Lab | 1 |
| CSE0613206 | Operating System Lab | 1 |
| CSE0613309 | Software Engineering | 3 |
| CSE0613310 | Software Engineering Lab | 1 |
| CSE0613303 | Systems Analysis and Design | 3 |
| CSE0611303 | Software Testing and Quality Assurance | 3 |
| CSE0613401 | Software Project Management | 3 |
| CSE0613203 | Digital Logic Design | 3 |
| CSE0613204 | Digital Logic Design Lab | 1 |
| CSE0611201 | Computer Architecture | 3 |
| CSE0613209 | Microprocessor Assembly Programming | 3 |
| CSE0613210 | Microprocessor Assembly Programming Lab | 1 |
| CSE0613307 | Microprocessor Assembly Programming Lab | 1 |
| CSE0612305 | Computer Networking | 3 |
| CSE0612306 | Computer Networking Lab | 1 |
| CSE0612303 | Data Communication | 1 |
| CSE0612401 | Switching and Routing | 1 |
| Total | 35 Courses | 75 |
6. Elective Courses
Elective Courses (Students are required to take any Four courses from this pool of elective courses)
| Code | Course Title | Credit Hours |
|---|---|---|
| CSE0613405 | Machine Learning | 3 |
| CSE0611405 | Bioinformatics | 3 |
| CSE0612403 | Cloud Computing | 3 |
| CSE0611407 | Distributed System | 3 |
| CSE0611409 | Embedded Systems | 3 |
| CSE0611411 | Robotics | 3 |
| CSE0612405 | Internet of Things (IoT) | 3 |
| CSE0611413 | Data and Web Mining | 3 |
| CSE0611415 | Big Data Analytics | 3 |
| CSE0613407 | Mobile Application Development | 3 |
| CSE0613409 | Machine Vision and Motion Analysis | 3 |
| CSE0613411 | Quantum Computing | 3 |
| CSE0612407 | Ethical Hacking and System Security | 3 |
| CSE0611417 | Digital Forensic and Incident Response | 3 |
| CSE0612409 | Blockchain and Distributed Security | 3 |
| MAT0541401 | Numerical Methods | 3 |
| CSE0611419 | Business Analytics | 3 |
| Total | 4 Courses | 12 |
7. Project
| Code | Course Title | Credit Hours |
|---|---|---|
| CSE0613499 | Project | 6 |
| Total | 1 Courses | 6 |
8. Courses Exempted for Diploma Students
A student who completed a 4 years' diploma will get the exemption of the following 6 courses (14 credit hours) to complete the Bachelor of Science in Computer Science & Engineering degree.
| SL | Course Code | Course Title | Credit Hours |
|---|---|---|---|
| 1. | PHY0533101 | Physics | 3 |
| 2. | PHY0533102 | Physics Lab | 1 |
| 3. | EEE0713101 | Electrical Engineering | 3 |
| 4. | EEE0713102 | Electrical Engineering Lab | 1 |
| 5. | ECO0311101 | Engineering Economics | 3 |
| 6. | BUS0411301 | Financial and Managerial Accounting | 3 |
| Total | 6 Courses | 14 | |
9. Course Designation and Numbering System
Each course is designated by a designation including the following code:
- All course numbers will have 7 (Seven) digits.
- Departmental courses will begin with CSE, followed by a 7-digit number.
- Mathematics-related courses will begin with MAT, followed by a 7-digit number.
- English language-related courses will begin with ENG, followed by a 7-digit number.
- Physics-related courses will begin with PHY and end with 7-digit numbers.
- Business-related courses will begin with BUS followed by 7-digit numbers.
- Electrical Engineering-related courses will begin with EEE and will be followed by a 7-digit number
Description of digits
- 1st four numeric digits- Subject code according to BNQF (detailed field)
- 5th digit- Year
-
6th and 7th digit- Course number.
(Note: odd number indicates theoretical course, and even numbers indicate lab course, except 411 indicates Project I and 422 indicate Project II.)
Semester wise distribution of courses
| Title | Details |
|---|---|
| Semester wise distribution of courses | View |
| Title | Details |
|---|---|
| Advising List | View |
CSE Co-Curricular Clubs List
- Programming Club
- Machine Learning Club
- Robotics Club
- Cyber Security Club
- Freelancing Club
Programming Club
Join fellow enthusiasts to explore diverse programming languages, paradigms, and problem-solving techniques through workshops, coding challenges, and collaborative projects.
Machine Learning Club
Dive into the world of artificial intelligence and machine learning, discussing algorithms, applications, and cutting-edge research while working on hands-on projects to deepen understanding.
Robotics Club
Embark on a journey into robotics, where members design, build, and program robots for various applications, from autonomous navigation to competitions, fostering creativity and engineering skills.
Cyber Security Club
Delve into the realm of cybersecurity, where members learn about vulnerabilities, threats, and defense strategies through workshops, capture-the-flag competitions, and real-world simulations.
Freelancing Club
Explore the world of freelancing and entrepreneurship, sharing experiences, networking, and learning about freelancing platforms, business strategies, and project management to thrive in the gig economy.
Departmental Committees
Planning and Development (P&D) Committee
| SL No. | Role | Name | Title |
|---|---|---|---|
| 1 | Convener | Md. Torikur Rahman | Assistant Professor & Coordinator, CSE |
| 2 | Members | Uttam Kumar Dey | Assistant Professor & Coordinator, CSE |
| 3 | Md. Wahidur Rahman | Senior Lecturer & Coordinator | |
| 4 | Mohammad Alauddin | Lecturer & Coordinator, CSE | |
| 5 | Md. Amanat Ullah | Assistant Professor, Math | |
| 6 | Md. Belal Hossen | Assistant Professor, Math |
Quality & IEB Accreditation Cell (QIAC)
| SL No. | Role | Name | Title |
|---|---|---|---|
| 1 | Convener | Md. Shafiul Alam Chowdhury | Associate Professor, CSE |
| 2 | Member-Secretary | Ratul Sikder | Senior Lecturer, CSE |
| 3 | Team Members | Md. Chowdhury Sajadul Islam | Assistant Professor, CSE |
| 4 | Md. Harun-Ar-Rashid | Lecturer, CSE | |
| 5 | Md. Zubair | Lecturer, CSE | |
| 6 | Md. Khairul Alam Mazumder | Lecturer, CSE | |
| 7 | Members | All Faculty Members of the Dept. of CSE | |
CSE Financial Committee
| SL No. | Role | Name | Title |
|---|---|---|---|
| 1 | Convener | Md. Wahidur Rahman | Senior Lecturer & Coordinator, CSE |
| 2 | Member Secretary | Md. Harun-Ar-Rashid | Lecturer, CSE |
| 3 | Team Members | Nahida Islam | Lecturer, CSE |
| 4 | Jubayer Ahmed Bhuiyan Shawon | Lecturer, CSE | |
| 5 | Md. Abdullah | Lecturer, CSE | |
| 6 | Members | All Faculty Members of the Dept. of CSE | |
Lab Supervision Committee
| SL No. | Role | Name | Title |
|---|---|---|---|
| 1 | Convener | Md. Wahidur Rahman | Senior Lecturer & Coordinator, CSE |
| 2 | Member-Secretary | Md. Zubair | Lecturer, CSE |
| 3 | Member | Tanvir Anjum | Lecturer, EEE |
| 4 | Md. Ashaduzzaman Niloy | Lecturer, EEE | |
| 5 | Md. Injamul Islam | Lecturer, CSE | |
| 6 | Khondaker Masfiq Reza | Lecturer, CSE |
Examination Committee
| Name | Title | |
|---|---|---|
| Coordinator | Uttam Kumar Dey (Assistant Professor, CSE) | |
| Exam – Chair | Riasaad Haque Aneek (Senior Lecturer, CSE) | |
| Member-Secretary | Samia Yasmin, Lecturer, CSE | |
| Nahida Islam, Lecturer, CSE | ||
| Members | Jubayer Ahmed Bhuiyan Shawon, Lecturer, CSE | |
| Md. Ashaduzzaman Niloy, Lecturer, EEE | ||
| Md. Morshed Ali, Lecturer, CSE | ||
| Shahanaz Islam Shaown, Lecturer, CSE | ||
| Md. Nazrul Islam, Lecturer, CSE | ||
| Tofayet Sultan, Lecturer, CSE | ||
| Nipa Anjum, Lecturer, CSE | ||
| Musfequa Rahman, Lecturer, CSE | ||
| Hasibul Islam Peyal, Lecturer, CSE | ||
| Md. Abdullah, Lecturer, CSE | ||
| Md. Monir Ahammod Bin Atique, Lecturer, CSE | ||
| Result Scrutiny Sub-Committee | Convener | Uttam Kumar Dey, Assistant Professor, CSE |
| Member-Secretary | Tanvir Anjum, Lecturer, EEE | |
| Member | Khondaker Masfiq Reza, Lecturer, CSE | |
| Exam Routine Sub-Committee | Convener | Najnin Hossain Esha (Lecturer, CSE) |
| Member-Secretary | Noor Easrib Tiba (Lecturer, CSE) | |
| Member | Md. Nazmul Abdal (Lecturer, CSE) | |
| Md. Injamul Islam (Lecturer, CSE) | ||
Curriculum & Syllabus Committee
| Role | Name | Title |
|---|---|---|
| Convener | Dr. A. H. M. Saifullah Sadi | Professor & Associate Dean, Dept. of CSE |
| External Members | Prof. Dr. Mohammad Kaykobad | Distinguished Professor, Department of Computer Science & Engineering, BRAC University |
| Prof. Dr. Hafiz Md. Hasan Babu | Professor, Dept. of CSE, University of Dhaka, Pro-Vice Chancellor, National University | |
| Members | Prof. Dr. Md. Mijanur Rahman | Professor, CSE |
| Uttam Kumar Dey | Assistant Professor & Coordinator, CSE | |
| Naimul Haque | Assistant Professor, CSE | Member-Secretary | Md. Torikur Rahman | Assistant Professor & Coordinator, CSE |
Course Allocation & Load Distribution
| Role | Name | Title |
|---|---|---|
| Coordinator | Md. Torikur Rahman | Assistant Professor, CSE |
| Convener | Shafat Rashid | Lecturer, EEE |
| Member-Secretary | Md. Injamul Islam | Lecturer, CSE |
| Pranta Banik | Lecturer, CSE | |
| Sumaiya Tanjil Khan | Lecturer, CSE | |
| Rokeya Begum | Lecturer, Business | |
| Md. Akif Hussain | Lecturer, CSE | |
| Zarin Tasnim | Lecturer, CSE | |
| Md. Abul Basar | Lecturer, CSE |
Credit Transfer Committee
| Sl | Title | Name |
|---|---|---|
| 1 | Coordinator | Mohammad Alauddin (Lecturer & Coordinator, CSE) |
| 2 | Convener | Uttam Kumar Dey (Assistant Professor & Coordinator, CSE) |
| 3 | Member-Secretary | Md. Ashaduzzaman Niloy (Lecturer, EEE) |
| 4 | Member | Hasibul Islam Peyal (Lecturer, CSE) |
| 5 | Abdullah Mohammad Sakib (Lecturer, CSE) |
Class Routine Committee
| 1 | Coordinator | Mohammad Alauddin (Lecturer & Coordinator, CSE) |
| 2 | Convener | Naimul Haque (Assistant Professor, CSE) |
| 3 | Member-Secretary | Md. Harun-Ar-Rashid (Lecturer, CSE) |
| 4 | Member | Tanvir Anjum (TRA) (Lecturer, CSE) |
| 5 | Jubayer Ahmed Bhuiyan Shawon (Lecturer, CSE) | |
| 6 | Abdullah Mohammad Sakib (Lecturer, CSE) | |
| 7 | Md. Akif Hussain (Lecturer, CSE) |
Event Management Committee
| 1 | Coordinator | Md. Wahidur Rahman (Senior Lecturer & Coordinator, CSE) |
| 2 | Convener | Md. Mijanur Rahman Nijam (Lecturer, Bangladesh Studies) |
| 3 | Member-Secretary | Hasibul Islam Peyal (Lecturer, CSE) |
| 4 | Member | Md. Belal Hossen (Assistant Professor, CSE) |
| 5 | Tanzillah Wahid (Assistant Professor, CSE) | |
| 6 | Naeem Mia (Lecturer, CSE) | |
| 7 | Musfequa Rahman (Lecturer, CSE) | |
| 8 | Nipa Anjum (Lecturer, CSE) |
Project/Thesis Supervision Committee
| 1 | Coordinator | Md. Torikur Rahman (Assistant Professor, CSE) |
| 2 | Convener (Day) | Md. Torikur Rahman (Assistant Professor & Coordinator, CSE) |
| 3 | Convener (Evening) | Naimul Haque (Assistant Professor, CSE) |
| 4 | Member-Secretary (Day) | Samia Yasmin (Lecturer, CSE) |
| 5 | Member (Day) | Md. Morshed Ali (Lecturer, CSE) |
| 6 | Member-Secretary (Evening) | |
| 7 | Member (Evening) | Md. Khairul Alam Mazumder (Lecturer, CSE) |
Promotional Activities (PA)
| 1 | Coordinator | Mohammad Alauddin (Lecturer & Coordinator, CSE) |
| 2 | Convener (PA) | Md. Mijanur Rahman Nijam (Lecturer, Bangladesh Studies) |
| 3 | Member-Secretary (PA) | Rokeya Begum (Lecturer, Business) |
| 4 | Member (PA) | Md. Amanat Ullah (Assistant Professor, MATH) |
| 5 | Tanvir Anjum (Lecturer, EEE) | |
| 6 | Md. Ashaduzzaman Niloy (Lecturer, EEE) | |
| 7 | Will be selected as required |
Disciplinary Committee
| 1 | Member | Uttam Kumar Dey (Assistant Professor & Coordinator, CSE) |
| 2 | Md. Torikur Rahman (Assistant Professor & Coordinator, CSE) | |
| 3 | Md. Wahidur Rahman (Senior Lecturer & Coordinator, CSE) | |
| 4 | Mohammad Alauddin (Lecturer & Coordinator, CSE) | |
| 5 | Will be selected as required |
About MikroTik
MikroTik is a Latvian company which was founded in 1996 to develop routers and wireless ISP systems. MikroTik now provides hardware and software for Internet connectivity in most of the countries around the world. Our experience in using industry standard PC hardware and complete routing systems allowed us in 1997 to create the RouterOS software system that provides extensive stability, controls, and flexibility for all kinds of data interfaces and routing. In 2002 MikroTik decided to make his own hardware, and the RouterBOARD brand was born. MikroTik company is located in Riga, the capital city of Latvia.
MikroTik Academy
We are pleased to announce that, Uttara University will become a MikroTik Academy in Bangladesh. This opportunity means Uttara University can offer the Students MikroTik Certified Associate (MTCNA) Course.
Course Title: MikroTik Certified Network Associate (MTCNA).
Duration: 4 Months.
Eligible Student: Only Uttara University students are eligible for this course.
Course Prerequisites: The student must have a good understanding of TCP/IP and subnetting. Suggested study IPv4 also.
Outcomes:
By the end of this training session, the student will be familiar with RouterOS software and RouterBOARD products and be able to connect the client to the Internet. He will also be able to configure, manage, do basic troubleshooting of a MikroTik router and provide basic services to clients.
Course Outline:
Module-01: Introduction
1. About MikroTik
• What is Router OS
• What is Router BOARD
2. First time accessing the router
• WinBox and MAC-WinBox
• WebFig and Quick Set
• Default configuration
3. RouterOS command line interface (CLI)
• Null Modem cable
• SSH and Telnet
• New terminal in WinBox/WebFig
4. RouterOS CLI principles
• <tab>, double <tab>, “?”, navigation
• Command history and its benefits
5. Initial configuration (Internet access)
• WAN DHCP-client
• LAN IP address and default gateway
• Basic Firewall – NAT masquerade
6. Upgrading RouterOS
• Package types
• Ways of upgrading
• RouterBOOT firmware upgrade
7. Router identity
8. Manage RouterOS logins
9. Manage RouterOS services
10. Managing configuration backups
• Saving and restoring the backup
• Difference between a backup and an export (.rsc) file
• Editing an export file
11. Resetting a RouterOS device
12. Reinstalling a RouterOS device (Netinstall)
13. RouterOS license levels
14. Sources of additional information
• wiki.mikrotik.com
• forum.mikrotik.com
• mum.mikrotik.com
• Distributor and consultant support
15. Module 1 laboratory
Module-02: DHCP
1. DHCP server and client
• DHCP client
• DHCP server setup
• Leases management
• DHCP server network configuration
2. Address Resolution Protocol (ARP)
• ARP modes
• RouterOS ARP table
3. Module 2 laboratory
Module-03: Bridging
1. Bridging overview
• Bridge concepts and settings
• Creating bridges
• Adding ports to bridges
2. Bridge wireless networks
• Station bridge
3. Module 3 laboratory
Module-04: Routing
1. Routing overview
• Routing concepts
• Route flags
2. Static routing
• Creating routes
• Setting default route
• Managing dynamic routes
• Implementing static routing in a simple network
3. Module 4 laboratory
Module-05: Wireless
1. 802.11a/b/g/n/ac Concept
• Frequencies (bands, channels) data-rates / chains (tx power, rx sensitivity, country regulations)
2. Setup a simple wireless link
• Access Point configuration
• Station configuration
3. Wireless Security and Encryptio
• Access List
• Connect List
• Default Authenticate
• Default Forward
• WPA-PSK, WPA2-PSK
• WPS accept, WPS client
4. Monitoring Tool
• Snooper
• Registration table
5. Module 5 laboratory
Module-06: Firewall
1. Firewall principles
• Connection tracking and states
• Structure, chains and actions
2. Firewall Filter in action
• Filter actions
• Protecting your router (input)
• Protection your customers (forward)
3. Basic Address-List
4. Source NAT
• Masquerade and src-nat action
5. Destination NAT
• dst-nat and redirect actions
6. FastTrack
7. Module 6 laboratory
Module-07: QoS
1. Simple Queue
• Target
• Destinations
• Max-limit and limit-at
• Bursting
2. One Simple queue for the whole network (PCQ)
• pcq-rate configuration
• pcq-limit configuration
3. Module 7 laboratory
Module-08: Tunnels
1. PPP settings
• PPP profile
• PPP secret
• PPP status
2. IP pool
• Creating pool
• Managing ranges
• Assigning to a service
3. Secure local network
• PPPoE service-name
• PPPoE client
• PPPoE server
4. Point-to-point addresses
5. Secure remote networks communication
• PPTP client and PPTP server (Quick Set)
• SSTP client
6. Module 8 laboratory
Module-09: Misc
1. RouterOS tools
• Netwatch
• Ping
• Traceroute
• Profiler (CPU load)
2. Monitoring
• Interface traffic monitor
• Torch
• Graphs
• SNMP
• The Dude
3. Contacting [email protected]
• supout.rif, autosupout.rif and viewer
• System logs, enabling debug logs
• Readable configuration (item comments and names)
• Network diagrams
4. Module 9 laboratory
Staff of the Department of Computer Science and Engineering
Md. Nazmul Alam Raihan
Section Officer
MSS, National University
BSS, National University
View DetailsStaff of the Department of Computer Science and Engineering Lab
Rezaul Kabir
Assistant Lab Instructor
BSc, Bangladesh University of Business and Technology
View Details
Md. Ariful Islam
Assistant Lab Instructor
Diploma, Bangladesh Technical Education Board
View Details
Md. Hasibur Rahman
Assistant Lab Instructor
BSc, Bangladesh University of Business and Technology
View Details
Dipok Kumar Saha
Assistant Lab Instructor
Diploma, Bangladesh Technical Education Board
View Details
Research Projects
Projects: In Progress or Ongoing
| Sl No. | Name of Research Project | Name of Project Manager | Number of Project |
|---|---|---|---|
| 1 | An Enhanced Activation Function for Fully Connected Artificial Neural Networks | Prof. Dr. Md. Mijanur Rahman, Professor & Dean, School of Science & Engineering, Uttara University | 1 |
| 2 | An Enhanced Activation Function for Fully Connected Artificial Neural Networks in Brain Tumor Identification from MRI Images | Prof. Dr. A.H.M. Saifullah Sadi, Professor & Associate Dean, School of Science & Engineering, Uttara University | 1 |
| 3 | Multiclass paddy insect classification using transfer leaning and optimized feature | Md. Wahidur Rahman, Senior Lecturer & Coordinator, Uttara University | 1 |
Research Areas
Prof. Dr. A.H.M. Saifullah Sadi
- Adoption of Innovation
- Machine Learning & Deep Learning
- M-commerce; E-commerce and M-banking
- E-Learning
- Cyber Security
Md. Shafiul Alam Chowdhury
- Deep Learning
- HCI
- Speech Recognition
Uttam Kumar Dey
- Distributed Systems
- Distributed AI
- Cyber Security
Resources
| Title | Details |
|---|---|
| Final Year Project (FYP) Proposal Form | View |
Lab Facilities
1. Software Engineering Lab:
Explore the principles and practices of software development, including requirements analysis, design, implementation, testing, and maintenance.
2. Networking and Communication Lab:
Delve into the world of network protocols, data transmission, and communication technologies to understand how data flows across interconnected systems.
3. Embedded Systems and IoT Lab:
Dive into the design and development of embedded systems and Internet of Things (IoT) devices, exploring hardware-software integration and real-time computing.
4. High-Performance Computing Lab:
Experience advanced computing techniques utilizing powerful GPU architectures, enabling high-speed processing for complex simulations and data analysis.
5. Cyber Security and Resilience Lab:
Focus on safeguarding digital systems from cyber threats, including intrusion detection, encryption techniques, and resilience strategies against cyber-attacks.
6. AI & Machine Learning / Generative AI Lab:
Engage in the study and application of artificial intelligence and machine learning algorithms for tasks such as pattern recognition, predictive analysis, and decision-making systems.
7. Data Science Lab:
Harness the power of data analytics and visualization tools to extract insights from large datasets, driving informed decision-making across various domains.
8. General Purpose Programming Lab:
Develop proficiency in various programming languages and paradigms, honing problem-solving skills and software development techniques.
9. Competitive Programming Practice Lab:
Sharpen algorithmic problem-solving skills through competitive programming challenges, fostering quick thinking and efficient coding practices.
10. Computer Interfacing Lab:
Explore methods of interfacing hardware components with computer systems, including sensors, actuators, and other peripherals.
11. Computer Simulation Lab:
Utilize simulation techniques to model and analyze complex systems, facilitating experimentation and prediction in diverse fields.
12. VLSI Lab:
Venture into the realm of Very Large Scale Integration (VLSI), designing and testing integrated circuits for applications ranging from consumer electronics to specialized hardware.
13. Microprocessor and Embedded System Lab:
Dive into the architecture and programming of microprocessors and microcontrollers, gaining hands-on experience in embedded system development.
14. Electrical Circuit Lab:
Explore the fundamental principles of electrical circuits through hands-on experimentation, analyzing circuit behavior and characteristics.
15. Electronic Circuit Lab:
Delve into the design, analysis, and testing of electronic circuits, covering components such as diodes, transistors, and operational amplifiers.
16. Physics Laboratory:
Conduct experiments to explore fundamental principles of physics, including mechanics, electromagnetism, optics, and modern physics, fostering a deeper understanding of natural phenomena.
Main Campus
Holding 77, Beribadh Road, Turag, Uttara, Dhaka 1230, Bangladesh
Mobile: 01872607360-62, 01706643282
Facebook Page: www.facebook.com/cseuu
Email: [email protected]
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