Vision of the Department: Our vision is to provide an environment to create skilled and competent professionals in the field of Electrical and Electronic Engineering with high morals to meet the national and global needs through creative research and innovations.
Mission of the Department
M1 | Providing a highest quality education in the field of Electrical and Electronic Engineering (EEE) to make competent engineers that will make them capable of solving real-world problems required by the industry and society. |
M2 | Educate students to contribute towards the creation of new knowledge through eminence research and innovation in EEE and allied fields. |
M3 | To enable students in attaining the required ethics with an attitude of entrepreneurial skills, ethical values and social consciences |
This Bachelor Degree in EEE program provides comprehensive theoretical, practical and hands-on training through engineering design, project work and laboratory experiments, and committed to providing students with a solid foundation of a wide range of EEE courses.
- Program Name: Bachelor of Science (Honours) in EEE
- Duration: 4 Years
- Total Credit: 166
- Total Semester: 8
- Total Cost: 2,55,000 BDT
- Program Type: Regular
- Scholarship: Up to 100% scholarship (Conditions apply)
- EEE Lab Facility:
- Electrical Circuits Lab
- Electronics Lab
- Measurement and Instrumentation Lab
- Electrical Machine Lab
- Power System Lab
- Communication Lab
- Digital Electronics Lab
- Computer and Networking Lab
Latest Activities:
- First batch of EEE, SFMU completed internship at United Jamalpur Power Ltd. (UJPL), 115 MW on February 2022
- Second batch of EEE, SFMU visited to United Mymensingh Power Ltd.-200 MW on 15th November, 2022
- Second batch of EEE, SFMU visited to Transcom, Beverage Ltd, Gazipur on 2nd November, 2022
- Internship of Second batch of EEE, SFMU at Transcom Beverage Ltd is under processing.
- Intra University Project Fair 2023 is announced.
Facebook: https://www.facebook.com/sfmueee
Syllabus: Old Syllabus
Research Activities:
- Shamim Mahbub, Md. Ferdous Wahid, Sheikh Md. Shafiqul Islam, Tasnim Ara Elahi, Md. Fahim Shahriar & Md. Al Mamunur Rashid, “Comparison of Handcrafted and Deep Neural Network Feature Extraction for Recognizing Bangla Sign Digits Exploiting Machine Learning Classifiers,” Proceedings of the 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2021, https://doi.org/10.1109/ICCCNT51525.2021.9580138
- A. Pourdaryaei, M. Mohammadi, M. Muhammad, J. B. F. Islam, M. Karimi and A. Shahriari, “An efficient framework for short-term electricity price forecasting in deregulated power market,” in IEEE Access, https://doi.org/10.1109/ACCESS.2021.3129449
- Ali, M.S., Tuhin, R.A., Khan, M.S.H. and Hasanuzzaman, M., 2021. Development of power generation from oceanic waves. In Advances in Clean Energy Technologies (pp. 319-346). Academic Press. https://doi.org/10.1016/B978-0-12-821221-9.00008-6
- M. M. Hasan, N. Hasan, A. Rahman and M. M. Rahman, “Effect of Smoking in EEG Pattern and Time-Frequency Domain Analysis for Smoker and Non-Smoker,” 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 2019, pp. 1-4, https://doi.org/10.1109/IC4ME247184.2019.9036492
- N. Hasan, M. M. Hasan and M. A. Alim, “Design of EEG Based Wheel Chair by Using Color Stimuli and Rhythm Analysis,” 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), Dhaka, Bangladesh, 2019, pp. 1-4, https://doi.org/10.1109/ICASERT.2019.8934493