CSE252 — Introduction To Artificial Intelligence And Machine Learning
Study Units
My Weak QuestionsFoundations of Artificial Intelligence
Data Preparation and Machine Learning Workflow
Supervised Machine Learning
Unsupervised Learning
Model Evaluation and Improvement
AI for Intelligent Systems and Robotics
Continuous Assessment
3 components
Students are required to create a Machine Learning based solution to solve a real-world problem statement. Evaluation covers innovation or benefit to society and prospective outcomes, project quality and completeness in terms of technical skills, and report, presentation, and viva Q&A.
Week 3 / 11
Rubric
Innovation/Benefit to Society and Prospective Outcomes (Publication, Patent, Revenue etc.): 10; Project Quality and Completeness in terms of Technical Skills: 10; Report + Presentation/Viva Q&A: 10.
Test will be based on subjective questions from the topics covered in Unit-1 and Unit-2 of the syllabus. The test may be a mix of concept-based, numerical-based, and coding-based questions. Every question can be of 5 or 10 marks.
Week 4 / 5
Rubric
To evaluate learning of students based on their understanding and application of concepts learned.
Subjective Test covering syllabus from Units-1 through Unit-3.
Week 11 / 12
Rubric
To test the subject knowledge of the students and provide opportunity to improve their CA performance in case if low marks or any missed CA.
Exams & Practice
Mid Term Examination
Mid-semester comprehensive evaluation
20%End Term Examination
Final semester comprehensive evaluation
50%Type: Examination
CSE252 - FAQs
How many units are in CSE252?
CSE252 has 6 units. Each unit includes detailed notes and MCQ practice questions.
What exam resources are available for CSE252?
Unit-wise notes and MCQ practice are available. Exam resources coming soon.
How to prepare for CSE252 exams?
Study each unit's notes thoroughly, practice MCQs to test understanding, and attempt mock tests before exams. Focus on important topics and previous year questions.