Historical Background of the Course: Information Technology being a demanding course program from the standpoint of securing employment and keeping in view the exorbitant course fee for pursuing this course elsewhere, University introduced this course (PPP mode) with a reasonable course fee.
About the Course: The course program on M.Tech.(IT) is designed to undertake advanced study in IT with extensive coverage of the latest IT curriculum. It is ideally suited to the students having a background in IT/Computer Science/Statistics/ Mathematics etc.
On successful completion of this program, a student may take up either a professional career in the fast-growing IT industry or pursue a research career.
Mission & Vision: The CITE, Utkal University is committed to developing itself as a value and need-based quality education provider in the state of Odisha in general and Khurda district in particular. It has the ultimate objective of producing qualified and competent manpower responsive to the changing needs of society at the national and international levels.
In its quest for being an outstanding center for learning and the development of human resources, it cherishes a clear vision and mission. It has become very consistent in its education, training &recruitment policy and, as a result, is widely accepted by students.
Goal: To be a center of excellence by producing experts both in the field of IT & academics.
Physical Facilities: The Course is running in the Dept. of Statistics.
Facility
Number(s)
Seminar Hall
1
Computer Laboratory
1
Reading Library
1
Classroom
3
Research Scholar room
1
Alumni room
1
Major Instrumental facilities
Laboratory facilities
Computational lab.
C++/Java/Oracle
Python programming
SPSS/ R Programming software
Publications
Number of articles published during last five years
Year
National
International
TOTAL NO OF PUBLICATION
2017
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16
2018
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——
25
2019
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——
16
2020
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——
18
2021
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28
Research Projects
Workshop/Seminar Details
Seminar/Workshops are being arrangedby inviting experts from bothe Industries &Instituteson regular basis to make the students aware of the latest trends of Information Technology.promote the research culture and update with latest development in specific area of research. Besides this the department also conductsRefresher courses/Faculty Development Programmes for College and University teachers at different period of time.
List of Seminar/Conferences/Refresher Course/FDP organized in Last Five Years:
Sl.
Name of the programme
Duration
No. of participants
1.
Key success factors and applications of Big Data in Business software solution
16.09.2017
30
2.
Issues and challenges of Big Data
07.02.2018
63
3.
Workshop on Python,Android and iOS
24.02.2018
79
4.
Perspective of Research and Research Methodology
25.08.2018
23
5.
National Workshop on Analytics, Data science and Deep Learning
18.08.2018
47
6.
Applications of Machine Learning
02.02.2019
16
7.
Data Science and Python
08.02.2019
19
8.
Importance of iOT in today’s Digital World
16.02.2019
28
9.
Exposure to Real-Time SDLC
14.03.2019
24
10.
Research Methodology-How to prepare Thesis
30.10.2019
14
11.
Researcher Visibility: Academic Writing and Ethics
14.12.2019
26
12.
Artificial Intelligence in Operational Activities of Enterprise Applications-AiOps
29.02.2020
13
13.
iOT& it’s Applications with Machine Learning
15.01.2021
22
14.
iOT for Industrial Product Development
03.02.2021
28
15.
Introduction to AI &Robotocs
02.03.2021
21
16.
iOT Applications in Healthcare
03.04.2021
32
17.
Data Science-A Road from Data to Wisdom
11.04.2021
38
18.
Learn, Compare,Explain :-Traids of Machine Learning
08.05.2021
24
19.
Machine Learning in IOT
19.11.2021
29
20.
Machine Learning and Industry 4.0
10.12.2021
32
21.
Role of Bhagbat Gita in Personality Development & Career Building
15.12.2021
35
Sl.
Name of the programme
Duration
No. of participants
22.
Health & Hygiene in COVID-19
15.12.2021
35
23.
Stress Management & Career Building
15.12.2021
35
24.
Workshop on Machine Learning using PYTHON
16.12.2021-17.12.2021
41
25.
Wearable Sensors for Healthcare Applications
18.12.2021
34
26.
Supervised Machine Learning Techniques and its Applications