CONCEPTUAL EXPERTISE BUILDING, KPR Institute Engineering and Technology, Autonomous Engineering Institution, Coimbatore, India

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UG Courses

Hybrid Event
CONCEPTUAL EXPERTISE BUILDING
Expert Talk Dept. Level
DATE
Feb 11, 2023
TIME
08:45 AM to 08:45 AM
DEPARTMENT
CSI
TOTAL PARTICIPATES
190
CONCEPTUAL EXPERTISE BUILDING CONCEPTUAL EXPERTISE BUILDING
Outcome
Summary
The Department of Computer Science and Engineering hosted the event as an Orientation Session for first-year students. The session includes technical presentations on topics like "Digital Profiling and Its Importance," "Tech Trends and International Opportunities," "Creating the Power of Autonomy in Academics," and "Art of Programming." Gaining awareness of computer science and engineering trends and requirements throughout his career is the major goal of the session "Expert Talk on Conceptual Expertise Building." The process of obtaining and studying internet data about a person is known as digital profiling. Information about a person's traits, actions, connections, and interactions can all be found in a digital profile. Digital profiling is utilised, among other things, in recruitment, criminal justice, business security, and marketing. Academic Autonomy refers to a privilege of the University granted by regulations allowing a college, institution, or department of the University to conduct academic programmes, develop syllabi for the respective subjects of the various engineering course branches, develop teaching and evaluation methods, conduct examinations leading to the award of a degree, diploma, certificate, and such other titles and distinctions by the University in accordance with the provision. The seminar covered various topics related to the art of programming, including best practices for writing clean and efficient code, debugging and troubleshooting techniques, and documentation's importance. The speakers gave the attendees valuable insights and tips on improving their programming skills. The trending topics in computer science are based on the industry sector,
1. Machine Learning Engineer
2. Senior Data Scientist
3. Artificial Intelligence/Machine Learning Research Scientist
4. Deep Learning Engineer
5. Algorithm Engineer

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