INTRODUCTION
The Institute of Engineering (IOE), Pashchimanchal Campus has initiated a two years (4-semester) M.Sc. Engineering from 2015 with the aims to provide students with expertise in the field of communication system, computer systems, knowledge engineering, artificial engineering and Machine learning and make the students blossom into meritorious and self-disciplined engineers through a new system of teaching. As recent trends and industries become more automated and society becomes more dependent on electronic data communication, the demand daily increases for professionals who can make informed decisions based on technical knowledge and experience. That is why the master in communication and knowledge Engineering (MSCmK) program at institute of engineering, Pashchimanchal campus Pokhara has such a progressive curriculum.
Knowledge engineering involves integrating knowledge into computer systems in order to solve complex problems requiring a high level of human expertise. At present, it refers to the building, maintaining, and developing of knowledge base systems. It has domains such as artificial intelligence, including databases, data mining, expert systems, decision support systems, and information systems. Knowledge engineering is also related to mathematical logic, as well as strongly involved in cognitive science and socio-cognitive engineering where the knowledge is produced by socio-cognitive aggregates and is structured according to our understanding of how human reasoning and logic works. It aims to provide students with expertise in the perspective field of hardware and software. It emphasizes the design, development, and programming of computer systems and computer engineering. The program has a particular emphasis on embedded hardware and distributed software systems.
VISION
To be internationally recognized as the master program that meets the challenges of modern industry, learning, research, innovation and society with distinctive curriculum, technical knowledge, creative & innovative approach. To nurture leadership qualities with human and educational values through research and broad education in diverse disciplines.
OBJECTIVE OF PROGRAM
The main objectives of the course are to:
- to produce highly competent professionals in the field of computer system, machine learning, Artificial intelligence, Deep Learning and knowledge engineering
- enhance the analytical skills and problem-solving capability in handling current issues in computer system, machine learning, Artificial intelligence, Deep Learning and knowledge engineering
- develop research skill in students to make them capable of carrying out sound research in computer system, machine learning, Artificial intelligence, Deep Learning and knowledge engineering
Enrollment Capacity: 20 Students
ELIGIBILITY
Eligibility Criteria
To be eligible for the admission to the M.Sc in Communications and Knowledge Engineering, a candidate must have passed 4 years B.E. in computer engineering/B.E. in electronics and communication engineering/ B.E. in electrical and electronics engineering/ or equivalent
Have undergraduate grades significantly above average and not less than the prescribed by the faculty board of IOE, and
Secure minimum score, as prescribed by the Faculty Board of IOE, in the entrance test conducted by the Entrance Board of IOE (or as recommended by special entrance committee for Foreign students)
Note: Equivalence means the same kind of degree obtained from institutes other than TU and recognized by TU as the equivalent to the degree provided by TU in the same discipline.
ADMISSION CRITERIA
The candidate willing to appear in the entrance examination to get enrollment into the M.Sc. program should fill and submit the Application Form online within the deadline prescribed by the Entrance Exam Board. Application forms will be available in the websites: www.ioe.edu.np/entrance or http://entrance.ioe.edu.np. The application procedures are as follows:
- The candidate should deposit required amount as an application fee for entrance examination in Account No mentioned in the notice by submitting a specially prepared voucher often by filling applicant’s name and date of birth in it. The voucher No. indicated in the voucher needs to be specified in the online application form.
- The candidate must select the appropriate entrance stream.
- The candidate should fill up the other required fields in the form without skipping any steps.
- The candidate also needs to upload his/her color photograph of prescribed specification and one of the following identification documents.
- Citizenship certificate
- Passport
- Last exam admit card
Year : I /I | ||||
Teaching Schedule | ||||
S. N. | Course Code | Course Title | Credit | |
1 | CT 801 | Operation Research | 4 | |
2 | CT 802 | Algorithmic Mathematics | 4 | |
3 | CT 803 | Knowledge Engineering | 4 | |
4 | EX 804 | Telecommunication and Computer Network | 4 | |
16 |
Year : I /II | |||||
Teaching Schedule | |||||
S. N. | Course Code | Course Title | Credit | ||
1 | EX 851 | Communication Theory | 4 | ||
2 | CT 851 | Information Security and Audit | 4 | ||
3 | CT 853/ EX853 | Elective I | 4 | ||
4 | CT 854 /
EX854 |
Elective II | 4 | ||
16 | |||||
Year : II /I | ||||
Teaching Schedule | ||||
S. N. | Course Code | Course Title | Credit | |
1 | CT 901 | Project Work | 4 | |
2 | CT 902 /
EX 902 |
Elective III | 4 | |
3 | CT 903 / EX 903 | Elective IV | 4 | |
Total | 12 |
Year : II /II | |||||
Teaching Schedule | |||||
S. N. | Course Code | Course Title | Credit | ||
1 | CT 951 /
EX 951 |
Thesis Work | 16 | ||
Total | 16 |