The Five-day Short Term Course (STC) on AI/ML and Data Science for Industry 4.0, organized in collaboration with NITTTR, Chandigarh, was successfully conducted from August 21 to 25, 2023. The main objective of this STC was to equip faculty members with the necessary knowledge and skills to design curriculums that focus on learning outcomes, fostering student-centric education, and ensuring better employability and overall educational quality. A total of 30 participants from our college attended this FDP.

The Five-day STC on AI/ML and Data Science for Industry 4.0, in collaboration with NTTTTR Chandigarh, proved to be a valuable learning experience for the participating educators. It aimed to empower them with the necessary knowledge and skills to develop curriculums that align with the evolving needs of education and equip students with the competencies required for their professional and personal growth.

Dr. Rajesh Prasad and Dr. Anuradha Taluja were the main program coordinators for this FDP.

E-certificates were mailed to the participants. Overall, this FDP was beneficial and knowledgeable experience for all the participants.
List of Resource Persons:
AD: Dr. Amit Doegar – Course Coordinator, NITTTR, Chandigarh
SS : Dr. Suresh Sharma, Professor, Panjab University, Chandigarh
GK: Dr. Gaurav Kumar- Director, Magma Research and Consultancy Pvt. Ltd., Ambala
PV: Dr. Padmavati, Associate Professor, Punjab Engineering College (Deemed to be University), Chandigarh
ShS: Dr. Shweta Sharma, Assistant Professor, IIIT, Una (H.P.)
AK: Dr. Akashdeep, Associate Professor, CSE Dept, UIET, Panjab University, Chandigarh
SBS: Dr. Sarbjeet Singh, Professor, CSE Dept, UIET, Panjab University, Chandigarh

DATE 10:00 A.M. to 11:30 A.M. 11:30 A.M. to 1:00 P.M.   3:00P.M. to 4:30 P.M.

 
21-08-2023  

Essentials of Python and Open Libraries for AI/ML and Data Science

(AD)

 Anaconda Distribution, Jupyter Setup and Python Programming for AI/ML and Data Science (AD)  

 

 

 

 

 

 

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 Essentials of Statistics for AI/ML and Data Science

 (SS)
22-08-2023 Exploratory Data Analysis (EDA) and Extract, Transform, and Load (ETL) Tools for AI/ML and Data Science   (GK) Data Dimensionality Reduction Techniques (PCA,LDA ,SVD)

(GK)

 Data Pre-Processing Techniques and Time Series Data Analysis (PV)
23-08-2023 Supervised and Machine Learning Techniques for  AI/ML and Data Science (AD) Forecasting and ARIMA Model for Industry 4.0

(AD)

 

 Regression Analysis Techniques and Algorithms for AI/ML and Data Science- (ShS)
24-08-2023 Neural Network and Deep Learning  Techniques for AI/ML and Data Science (AK) Neural Network and Deep Learning Techniques for AI/ML and Data Science

(AK)

 Ensemble Techniques for AI/ML and Data Science

(ShS)

 
25-08-2023 UnSupervised and Machine Learning Techniques  for AI/ML and Data Science

(SBS)

 Graphing Library,  Geographical plots, Venn Diagrams and Network Diagrams, Statistical Charts

(SBS)

 Case Study, Feedback and Online Evaluation

(AD)