About The Department
The Department of CSE-Data Science is established in the year 2020, B.Tech degree in CSE-Data Science specialization with an intake of 120. It has the well-defined infrastructural facilities required for imparting high-quality technical education and the department is well structured to meet the current needs of the industry. It has well-qualified and experienced faculty and skilled programmers to impart high-quality education. Conferences, Workshops, and Seminars are conducted in the department regularly to keep updated both faculty and students with the latest developments in various technologies. The students in the department are nurtured into competent software professionals, to face the real-time challenges of the Data Science and Information Technology sectors.
Graduate Courses (B.Tech)
| S.No | Course Name | Course Type (full time) | Duration | Intake |
|---|---|---|---|---|
| 1 | Computer Science and Engineering-Data Science | Full time | 4 Years | 180 |
To be recognized as leading hub of excellence in the field of Computer Science & Engineering with data science specialization fostering quality technical education blended with research and social values to meet current industrial needs.
- To provide state of art and infrastructure with modern laboratories, high performance computing resources and collaborative spaces that enables excellence of graduates.
- To provide quality teaching and learning through industry collaboration and continues education initiatives.
- To provide research driven learning environment by fostering values and professional ethics that enables graduates to compete globally.
PROGRAM EDUCATIONAL OBJECTIVES (PEOS)
PEO 1: To acquire the knowledge in the computer oriented statistical methods and programming to analyze complex datasets and solve the computational problems.
PEO 2: To enhance the graduates with logical thinking, problem solving abilities through hands-on projects, fostering teamwork and
effective communication.
PEO 3: To encourage the graduates to use cutting-edge tools and technologies to solve the real time challenges in the field of data
science.
PROGRAM OUTCOMES (POS)
Engineering Graduates will be able to satisfy these NBA graduate attributes:
PO 1: Engineering
knowledge:
Apply the knowledge of mathematics, science, engineering fundamentals, and an
engineering specialization for the solution of complex engineering problems.
PO 2: Problem
analysis:
Identify, formulate, research literature, and analyse complex engineering
problems reaching substantiated conclusions using first principles of
mathematics, natural sciences, and engineering sciences.
PO 3:
Design/Development of Solutions: Design solutions for complex engineering problems and design
system components or processes that meet the specified needs with appropriate
consideration for public health and safety, and cultural, societal, and
environmental considerations.
PO 4: Conduct
investigations of complex problems: Use research-based knowledge and research methods including
design of experiments, analysis and interpretation of data, and synthesis of
the information to provide valid conclusions.
PO 5: Modern tool
usage: Create,
select, and apply appropriate techniques, resources, and modern engineering and
IT tools including prediction and modelling to complex engineering activities
with an understanding of the limitations.
PO 6: The
engineer and society: Apply reasoning informed by the contextual knowledge to assess
societal, health, safety, legal, and cultural issues and the consequent
responsibilities relevant to the professional engineering practice.
PO 7:
Ethics: Apply ethical principles and commit to
professional ethics and responsibilities and norms of the engineering practice.
PO 8: Individual
and team work:
Function effectively as an individual, and as a member or leader in diverse
teams, and in multidisciplinary settings.
PO 9:
Communication:
Communicate effectively on complex engineering activities with the engineering
community and with the 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
PO 10: Project
management and finance: Demonstrate knowledge and understanding of the engineering and
management principles and apply these to one’s own work, as a member and leader
in a team, to manage projects and in multidisciplinary environments.
PO 11: 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.
PROGRAM SPECIFIC OUTCOMES(PSO’S)
PSO 1: Ability to develop computational expertise and optimized coding skills using innovative tools and advanced techniques to solve
problems by applying AI techniques
PSO 2: Graduates will be proficient in analyzing complex datasets using statistical techniques, data analysis methods, and
visualization.
PSO 3: The graduate will apply ethical principles and ensure data privacy, security, and fairness while working for industry.
Dr. M. LAXMAIAH received B.Tech CSE from Sri Krishna Deveraya University, Anantapur, AP in 1997.M.Tech CSE from JNTU, Hyderabad in 2003. He has received his Ph.D, Doctorate Degree in the area of Data Mining in Computer Science and Engineering discipline from Jawaharlal Nehru Technological University (JNTUH), Kukatpally, Hyderabad, Telangana in 2016. His research interests include Data Mining, Data Science and Data Analytics, Machine Learning. He is currently working as a Professor and Head of Department of Computer Science &Engineering-Data Science (CSE-DS) and Artificial Intelligence & Data Science (AI&DS) in CMR Engineering College, Kandlakoya (V), Medchal (M&D), Hyderabad, Telangana,India-501401.He has 25 years of experience in teaching and 10 years of experience in the field of Research.
He has published many research papers in the peer-refereed National and International Journals, and Conferences. He has received funding from AICTE MODROB17.5 lakhs, PMKVY 2.3 lakhs and DST 13.8 lakhs. Currently, he is guiding 4 research scholars.2 Ph.D scholars completed Ph.D under his supervision. He is an IBM DB2 and Data Science & Big Data Analytics Certified Professional. He is an instrumental in conducting students Hackathons such as Rurathon Jalathon, Coronathon,Ideathon, Smart India- Internal Hackathon, Swecha Hackathon.
He has received Drona Award from IBM in receipt of 1st Position in “The Great Mind Challenge” competition in the Year 2011 and Outstanding Researcher in Computer Science Engineering Award from Global Outreach Organization in 2019 and Best researcher award in Computer Science and Engineering from Prahas Vidya Parishad Trust in 2020. He has also received Best Teacher Award from many educational institutions like CMREC, MLRIT, TEC,etc. He has published 4 patents. He has received National Merit Scholarship, Telugu Vignana Merit Scholarship in SSC.
He has worked as a Secretary for Indo-Universal Collaboration for Engineering Education (IUCEE) of AP Chapter from 2006 to 2014.He has held different academic positions like Principal(I/C) , BoS Member, Chief Superintendent of Examinations,IIIC Head, Dean SAC, Head-Dell EMC Centre of Excellence, Head of CSE Department in couple of engineering colleges.
His professional Memberships are
- Member of IEEE
- Life time member of CSI
- Life time member of Indian Society for Technical Education
- Life time member of Soft Computing Research Society
- Life time member of Internet Society
- Fellow of Institute of Engineers
- Member of International Association of Engineers
Department Information
DS Academic Calendar 2020 21 For B. TECH .B .PHARM . II, III, IV Years I And II Semesters (1) (2)
DS Academic Calendar 2020 21 For B. TECH .B .PHARM . II, III, IV Years I And II Semesters (1)
DS B.Tech .B .Pharm Revised Academic Calendar IV Yr II Sem Compressed 05 06 2021 (1)
DS B.Tech .B .Pharm Revised Academic Calendar IV Yr II Sem Compressed 05 06 2021
DS Academic Calendar 2020 21 For B. TECH .B .PHARM . II, III, IV Years I And II Semesters (1) (1)
Sno | Name Of The Faculty | Qualification | Designation |
1 | Dr. LAXMAIAH METTU | Ph.D | Professor & HOD |
2 | Dr. J MAHALAKSHMI | Ph.D | Professor |
3 | Dr. PATLOLLA VENKAT REDDY | Ph.D | Professor |
4 | Dr. KAPPLA SHANTHI LATHA | Ph.D | Professor |
5 | Dr. PPRASHANTHI | Ph.D | Associate Professor |
6 | Dr .C ANJANAMMA | Ph.D | Associate Professor |
7 | Dr. EKBAL RASHID | Ph.D | Associate Professor |
8 | Dr. GUBBALA KUMARI | Ph.D | Associate Professor |
9 | Dr. C SYAMSUNDAR | Ph.D | Associate Professor |
10 | Dr. KANDE ARCHANA | Ph.D | Associate Professor |
11 | Mr. B KUMARASWAMY | M.Tech(Ph.D) | Associate Professor |
12 |
Mr. EDLA LAXMAN | M.Tech(Ph.D) |
Associate Professor |
13# | Mrs. G NAGA SIROMANI | M.Tech | Associate Professor |
14 | Mrs. T VIRAJITHA | M. Tech | Assistant Professor |
15 |
Mrs. C SANDHYA | M. Tech |
Assistant Professor |
16 | Mrs. S S LAKSHMI LAVANYAM | M. Tech(Ph.D) | Assistant Professor |
17 | Mrs. KARNATI DURGA | M. Tech | Assistant Professor |
18 | Mrs. G SWATHI | M.Tech (Ph.D) | Assistant Professor |
19 |
Mrs. THIPIREDDY BHAVYA | M. Tech |
Assistant Professor |
20 | Mrs. RADHIKA TAKKELLA | M.Tech(Ph.D) | Assistant Professor |
21 |
Mrs. VENNA SRAVANI KUMARI | M. Tech |
Assistant Professor |
22 | Mr. JANGA RAJENDAR | M.Tech(Ph.D) | Assistant Professor |
23 | Mr. V KIRAN KUMAR | M.Tech(Ph.D) | Assistant Professor |
24 |
Mr. AVUDURTHI SAIKIRAN | M.Tech(Ph.D) |
Assistant Professor |
25 | Mrs. NANDIKONDA MADHAVI | M.Tech(Ph.D) | Assistant Professor |
26 | Mrs. GUBBALA LALITHA | M. Tech | Assistant Professor |
27 | Mr. NAVEEN KUMAR MAMIDALA | M.Tech(Ph.D) | Assistant Professor |
28 |
Mr. MALOTHU VENKANNA | M. Tech |
Assistant Professor |
29 | Mrs. RENUKA PARNANDHI | M. Tech | Assistant Professor |
30 | Mr. KARRE RAMESH | M. Tech | Assistant Professor |
31 | Mrs. NAMILAKONDA SUMANJALI | M.Tech(Ph.D) |
Assistant Professor |
32 |
Mrs. G SHRUTHI | M. Tech |
Assistant Professor |
33 | Mrs. PADAKANTI BHARGAVI | M. Tech | Assistant Professor |
34 | Mr. RAPELLI SRIKANTH | M.Tech(Ph.D) | Assistant Professor |
35 | Mrs. A SHRAVANI | M.Tech (Ph.D) | Assistant Professor |
36 |
Mrs. RATNAMALA | M. Tech (Ph.D) |
Assistant Professor |
37 | Mrs. MADDIGATLA CHANDANA | M.Tech(Ph.D) | Assistant Professor |
38 | Mrs. SUSHMA PRIYADARSHINI | M.Tech(Ph.D) | Assistant Professor |
39 |
Mrs. GOTTIPARTHY SWETHA | M.Tech(Ph.D) |
Assistant Professor |
NOTE:
* REPRESENTS THE RELIEVED FACULTY
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