Artificial Intelligence & Data Science (AI&DS)
Artificial Intelligence and Data Science are one of the many branches of science, engineering, and technology. Engineering in Artificial Intelligence and Data Science is a core technologies like Machine learning, Artificial Intelligence, Data warehouse, Data mining, Scripting language, Product development, Mathematical modelling. This course also gives importance to areas like big data analytics, fuzzy technologies, artificial neural networks. It helps students in getting ready with skills to perform decisions that are based on data analysis. Through AI and DS courses, students will gain skills in areas like statistics, data scientists, machine learning, computer science, and logic. Artificial Intelligence is a part of Data Science. For its operations in the field of Data Science, Artificial Intelligence is used. Data Science is connected with Artificial Intelligence through machine learning.
Artificial Intelligence (AI) an interdisciplinary science with multiple approaches and Data Science (DS) is the field of study which encompasses various roles such as data analysts, decision scientists and business intelligence developers. As data is the main oil for every application, DS is helpful for students to draw meaningful insights from big data and acquire skill-sets to deal with numerous real time applications in this field. Since last decade, AI and DS witnessed tremendous growth and dramatic breakthrough innovations applied in almost every sector. Recently, new education reforms introduced AI learning right from school education. Successful MNCs like Google, Amazon, Facebook, Flipkart, twitter etc. uses various AI and DS techniques to discover patterns and trends in user’s data and behavior. Various banking and financial companies uses AI and DS techniques for risk analysis, share market trends analysis, investment banking.
VISION
To encourage the inquisitiveness in a student and make him to understand the fundamentals of science to exploit for the development of new technology.
MISSION
To feed the engineer with fine aspects of science which make them to understand, exploit and innovate; leading to the technological advancement of future world.
Information science and Engineering is originally a basic study to elucidate the mechanism of information processing in such biotic behavior as thinking, decision making, perception, and learning and a study to develop devices which can simulate those activities. Information science is applied to all fields of study, including the natural sciences, the arts and humanities, technology and social science, and has brought about revolutions in these areas.
The Faculty of information Science and Technology offers engineering and industry oriented subjects where the students can excel in the interested domain. These diversified programmes are application-oriented and are designed to produce competent graduates who can apply theories in practice. Our students are set to participate in industrial and research projects with a strong applied nature for industrial, commercial and community needs. They will be trained to think critically and analytically, thus standing them in good stead in their future professions and making them highly valued by employers.
Our team of professors and lecturers has an unswerving dedication to provide a caring environment and a gateway for aspiring students to pursue lifelong learning. We will always be around to help any and all, even after graduation and beyond.
DR. LATHA P. H
HOD ISE
ABOUT DEPARTMENT
The Information Science & Engineering programme at SAIT was started in 2001, and is designed to prepare students to gain extensive knowledge of tools and techniques of information processing. These days we need connectivity of data across the globe and we need it at the click of the mouse. That is the challenge Information Technology has to meet. The department is well known for consistent performance in academic results and placement.
The department offers an undergraduate course of eight semesters, as per the VTU syllabus leading to a bachelor’s degree in information science.
The department of Data Science that focuses on practical applications of collected and analyzed data is Data Science engineering. It is a multidisciplinary field encompassing Computer Science, Computational Mathematics, Statistics, and Management. The department has good infrastructure and computing facilities for academic and Research activities. The department has well experienced, highly qualified, dedicated faculties to support students in their academics, co-curricular ,extracurricular and personals. The department has a strong prominence on innovation and research. Data Science enables companies to efficiently understand gigantic data from multiple sources and derive valuable insights to make smarter data-driven decisions. Data Science is widely used in various industry domains, including marketing, healthcare, finance, banking, policy work, and more. Our institution provides students with a platform to improve their employment skills and also provide opportunities to work on consultancy projects and internships.
Dr. B Vani
HOD Artificial Intelligence and Data Science
TEACHING - LEARNING PROCESS
At the Department , our teaching and learning process is designed to provide students with a robust foundation in while fostering critical thinking and practical skills.
an overview:
- Curriculum: Our curriculum is thoughtfully structured to cover fundamental concepts in subject while offering flexibility for specialization in various disciplines. We integrate theoretical knowledge with hands-on laboratory experience to provide a holistic education
- Interactive Classes: Our classes are conducted in an interactive and engaging manner, encouraging active participation and open discussions. We believe in creating a dynamic learning environment where students can ask questions, explore ideas, and challenge conventional thinking.
- Laboratory Work: Laboratory work is an integral part of our teaching process. It allows students to apply theoretical knowledge in practical experiments, enhancing their problem-solving and analytical skills.
- Mentorship: Our faculty members are not just educators but mentors who are accessible to students for academic and career guidance. We believe in nurturing talent and helping students reach their full potential.
- Assessment: We have a rigorous assessment system in place to evaluate student progress and ensure that learning outcomes are met. Feedback is provided to help students continuously improve.
- At the Department , we are committed to preparing our students for successful careers in academia, industry, and research. Our teaching and learning process is designed to inspire a lifelong passion for the subject and a commitment to scientific excellence.
Our Department is proud to offer state-of-the-art facilities to support learning.
Our infrastructure includes:
- Well –Equipped Class Rooms: enabled with ICT
- Well-Equipped Laboratories: Our laboratories are equipped with the latest systems to facilitate cutting-edge hands-on learning experiences for students. We have dedicated computer facilities equipped with software for data analysis, simulations, and modeling, enabling advanced research and analysis.
- Library Resources: Our library houses an extensive collection of books, journals, and online resources related to chemistry, providing students and faculty with access to a wealth of knowledge.
- Safety Protocols: Ensuring the safety of our students and researchers is paramount. We have stringent safety protocols and trained staff to oversee laboratory operations.
- Collaborative Spaces: We provide collaborative spaces for students and faculty to work together on fostering a culture of teamwork and innovation.
- Wifi: Enabled with high speed.
Our faculty members are not only dedicated educators but also active contributors to the field. Some of their activities include:
- Research Publications: Our faculty members regularly publish their research findings in reputable journals, contributing to the global body of knowledge.
- Conferences and Seminars: Our faculty members participate in national and international conferences, presenting their research and staying updated on the latest developments in the field.
- Counseling with students for their betterment, Motivating to take part for various event in College and out College.
We believe in nurturing well-rounded individuals, and our students actively engage in a variety of extracurricular activities, including:
- Students have attended Skill Development programming “ Data Analytics with Python”.
- Students attended Technical Talk on “Future of Connectivity: Driven Hybrid Precoded Massive MIMO Systems”.
- Girls Students attended seminar on “Start up talk, Personality Development and Personal Hygiene Sessions”, conducted by Women Cell.
- Competitions: Our students participate in competitions and have a track record of success at regional and national levels. Two students have won cash prizes with a team for fashion Show at Cambridge College of Engineering, Bangalore.
EVENTS CONDUCTED:
- Conducted Skill Development Programming on :” Data Analytics with Python”, at CSE seminar
- Seminar conducted on “Mastering the Future: Exploring Careers in AI Security, Data Protection and CyberSecurity” at CSE seminar hall.
- RESULT PERFORMANCE OF 2023,2022,2021 – FINAL YEAR ONLY PLEASE : NIL
- SCHEME & SYLLABUS FOR 2018, 2021 & 2022 SCHEMES: 2022 SCHEME
https://vtu.ac.in/pdf/2022_3to8/aidssch.pdf
Paper Publications:
- Vani B, Dr. Shrishail Matt, “A Survey on Energy Proficient Techniques in Wireless Sensor Network”, International Journal of Innovative Science Engineering, vol-3, Issue-3, March 2016.
- Vani B, Dr. Shrishail Matt, “Quantitative Assessment System for Reliable Routing in Wireless Sensor Network”, International Journal of Innovative Science Engineering, vol-4, Issue-5, May 2017.
- B, Dr. Shrilshal Math, “An Improved Optimization Approaches for Homogeneous and Heterogeneous Hierarchical Clustering in Wireless Sensor Network”, International Journal of Science and Research Development, vol-7, Issue-12, Feb 2020.
- B, Dr.Shrilshal Math, “Source Traffic Defined Multiple Mobile Sink Routing Protocol for Efficiency & amp; Lifetime Maximization in Wireless Sensor Network”, Turkish Online Journal of Qualitative Inquiry(TOJQI), vol-12, Issue-7, July-2021, Scoupus Index.
- B, Dr. Shrilshal Math, “Performance Analysis of Energy Routing Protocols in Wireless Sensor Network”, NeuroQuantology, vol-20, Issue-20, December 2022, Scopus Index.
- Mamatha M, Thriveni J, Venugopal K R, “ Techniques of Sentiment Classification, Emotion Detection, Feature Extraction and Sentiment Analysis: A Comprehensive Review”, International Journal Computer Science and Engineering, vol 6, pp. 244-261, Jan 2018.
- Mamatha M, Rakshith Shenoy, Thriveni J and Venugopal K R, “Enhanced Sentiment Classification for Dual Sentiment Analysis using BiLSTM and Convolution Neural Network Classifier”, International Journal of Engineering Trends and Technology, vol. 70, pp. 154-163, 2022. Scopus Indexed.
- Mamatha M, Shilpa Shivakumar, Thriveni J and Venugopal K R, “Restaurant Based Emotion Detection of Images from Social Media Sites using Deep Learning Model”, International Journal of Intelligent Systems and Applications in Engineering, vol. 11(10s), pp. 267-276, 2023. Scopus Indexed.
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Dr. B. Vani is an academic professional with Ph.D. in Wireless Sensor Networks from Visvesvaraya Technological University. Her research focuses on Routing Protocol for Wireless Sensor Network. With over two decades of teaching experience, she excels in communication and teaching skills. Her dedication to education and research is evident through her impressive academic achievements and Research Publications. Her commitment to excellence and passion for her field makes her a valuable addition to any academic institution.
Educational Background:
- D. in Computer Science & Engineering, Visvesvaraya Technological University, 2023 Thesis Title: “Performance Analysis of Energy Efficiency in Wireless Sensor Networks”
- Tech, AMC Engineering College, VTU, Bangalore, 2007 Grade: First class
- BE, SJCIT, Bangalore University, Chikkaballapur,1996 Grade: First Class
- PUC, CBSC, Kendriya Vidyalaya, 1992 Grade: First Class
- SSLC, CBSC, Kendriya Vidyalaya, 1990 Grade: First Class
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Mrs. Mamatha M, Assistant Professor in the Dept. of AI and DS. Her research interests are in the field of Data Mining, Sentiment Analysis, Artificial Intelligence and Multimodal Analysis. She has published one paper in referred International Journal and presented two papers in conferences. She has attended several FDP sessions and worked as a Member and reviewer in Sixteenth International Conference on Information Processing(ICInPro 2021). She has handled different subjects in the department and has good teaching skills.
Educational Background:
- Pursuing Ph.D. in Computer Science & Engineering, Bangalore University, Thesis Entitled: “Enhanced Techniques for Sentiment Analysis using Deep Learning”
- Tech, Dr. AIT, Visvesvaraya Technological University, Bangalore, 2011 Grade: First class With Distinction.
- BE, UVCE, Bangalore University, Bangalore, 2008 Grade: First Class With Distinction.
- PUC, PU Board, Seshadripuram Composite PU College, Bangalore, 2004 Grade: First Class
- SSLC, SSLC Board, Cluny Convent High School, 2002 Grade: First Class
- 1ST22AD029 MEGHA P
- 1ST22AD008 BIBHUDATTA BEHERA
- 1ST22AD022 KEERTHANA C
- 1ST22AD045 SANYUKTA DAS
- 1ST22AD047 SAYAN DAS
- 1ST22AD032 MOUNIKA M
- 1ST22AD035 NISHMITHA SHETTY
- 1ST22AD030 MOBASSIR RAZA
- 1ST22AD038 POORVIKA B
- 1ST22AD021 KEERTHANA A L
- Contact of Test coordinator : Prof. Mamatha M : +9844527012
- Department Exam Coordinator: Dr. B. Vani :+ 9880079853
- Semester Coordinator: Prof. Mamatha M : +9844527012
- Proctor Coordinator : Dr. B. Vani :+ 9880079853, Prof. Mamatha M : +9844527012
- Cultural & Sports coordinator : Prof. Mamatha M : +9844527012
CALENDER OF EVENTS FOR ODD SEMESTER 2023-24 | |||||||||
Weeks | Month | Mon | Tue | Wed | Thur | Fri | Sat | Total | Remarks |
1 | November |
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| 15 | 16 | 17 | 18 | 4 | 15 Nov-Start of 3rd Semester, 15-22 Nov – Skill Development Program |
2 | November | 20 | 21 | 22 | 23 | 24 | 25 | 6 |
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3 | November | 27 | 28 | 29 | 30 | 1 | 2 | 5 | 30 Nov-Kanakadasa Jayanthi |
4 | December | 4 | 5 | 6 | 7 | 8 | 9 | 6 |
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5 | December | 11 | 12 | 13 | 14 | 15 | 16 | 6 |
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6 | December | 18 | 19 | 20 | 21 | 22 | 23 | 6 | 21 Dec- Seminar on CyberSecurity
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7 | December | 25 | 26 | 27 | 28 | 29 | 30 | 5 | 25 Dec-Christmas 29 Dec- Women’s Cell Program by P&G |
8 | January | 1 | 2 | 3 | 4 | 5 | 6 | 6 |
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9 | January | 8 | 9 | 10 | 11 | 12 | 13 | 6 | 10, 11, 12 Jan CIE 1 |
10 | January | 15 | 16 | 17 | 18 | 19 | 20 | 5 | 15 Jan- Sankranti |
11 | January | 22 | 23 | 24 | 25 | 26 | 27 | 5 | 26 Jan-Republic Day |
12 | January February | 29 | 30 | 31 | 1 | 2 | 3 | 6 |
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13 | February | 5 | 6 | 7 | 8 | 9 | 10 | 6 |
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14 | February | 12 | 13 | 14 | 15 | 16 | 17 | 6 | 12,13,14 Feb CIE 2 |
15 | February | 19 | 20 |
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| 2 | 20 Feb – Last Working Day of 3rd Semester
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Total | 80 |
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Commencement of VTU Practical Exam for III Semester: 21-02-2024 to 29-02-2024. Commencement of VTU Theory Exam for I Semester: 04-03-2024 to 23-03-2024. Commencement of Even Semester II: 01-04-2024. | |||||||||
Sl.No. | Name of the Advisory Board Member | Company And Designation | Designation in Advisory Board |
MEMBERS | |||
1 | Dr.B.Vani | HOD- , SAIT | Chairman- Adv.Board |
2 | Dr. H.G.Chandrakanth | Principal | Member |
3 | Dr. M.N.Sreerangaraju | Dean-Academics | Member |
4 | Dr.K.V.Prasad | Dean – Research | Member |
5 | Mr.Sudheer B Bhusani | From Industry | Member |
6 | Wg.Cdr.Dr.K Srinivas Rao | Persons from Defence/ Govt Organization ( retired/ working) | Member |
7 | Dr.Nagaveni V(AMCE) | HOD from other college | Member |
8 | Dr.Kamalashi N (SCE) | HOD from other college | Member |
9 | Dr.Latha P H | HOD from other Department | Member |
10 | Dr.Vinutha D C (VVCE) | Professor from other college | Member |
11 | Mr.Sreekantaegowda | Management Representative | Member |
12 | Mrs. Rashmi Rajeev | Training & Placement Officer |
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13 | Mrs. Deepthi. | Admission Officer | Member |
14 | Dr.Ajeet A Chikkamannur | Professor (AIML) | Member |
15 | Dr.Sanjeetha R | Asso.Prof.(CSE-CY) | Member |
16 | Dr.Krishna Ranjan | Asso.Prof.(MBA) | Member |
17 | Dr.K Srinivas Rao | Assistant Professor | Member |
18 | Kavana B | Student from Higher semester | Member |
19 | Sadananda TN | Parent | Member |
SPECIAL INVITEES | |||
20 | Dr.V.Nagaraj | Chairman,Sambhram Group of Institutions | Invitee |
21 | Dr. K.Balaveera Reddy | Former Vice Chancellor,VTU. Former Chairman, GC NITK,Surathkal. | Invitee |
22 | Sri. B.N.Nagaraj | Former IPS, CEO – SGI | Invitee |
23 | Smt. DhanyaNagaraj | Director – SGI | Invitee |
24 | Dr.Ajeet A Chikkamannur | IQAC -Head | Invitee |
OUR STAFF MEMBERS
A good teacher is like a candle- it consumes itself to light the way for others.