10-Day Crash Course on Quantitative Aptitude & Logical Reasoning (For Competitive Examinations and Campus Placements) - January 2026
Description
Background & Need of the Program:
Quantitative Aptitude and Logical Reasoning are mandatory screening components in most competitive examinations and campus placement processes. Despite covering these topics academically, many students struggle with:
• applying concepts under time pressure
• identifying shortcut opportunities
• recognizing standard exam patterns
• maintaining speed and accuracy simultaneously
This crash course is designed to address these challenges by focusing on exam-oriented thinking, pattern recognition, and efficient problem-solving techniques, rather than lengthy theoretical explanations.
Objectives of the Program:
• To enhance students’ speed, accuracy, and confidence in aptitude tests
• To train participants in shortcut-based and pattern-oriented problem solving
• To familiarize students with actual competitive exam and placement-style questions
• To bridge the gap between classroom mathematics and real exam requirements
• To improve performance in screening tests, prelims, and placement aptitude rounds
What you'll learn
Solve aptitude questions more efficiently under time constraints
Reduce calculation errors using validation methods
Approach exams and interviews with increased confidence
Identify question patterns and apply appropriate shortcut techniques
Perform better in competitive exam prelims and placement aptitude rounds
Requirements
Course Content
Semester with subjects
No Semester Founds.
Experts
Dr. Sampurna Sengupta
Mathematical Modelling
Dr. Sampurna Sengupta is an Assistant professor at the School of Information Technology, Artificial Intelligence and Cyber Security (SITAICS), Rastriya Raksha University (Gandhinagar Campus). She also works as research article reviewer for some reputed journals such as Stochastic Analysis and Applications (Taylor & Francis UK), Discrete and Continuous Dynamical Systems Series S (American Institute of Mathematical Sciences), Nonlinear Dynamics (Springer Nature Switzerland), etc. In the past, she worked as Assistant Professor in Bharati Vidyapeeth Deemed to be University, Navi Mumbai and Kalasalingam Academy of Research and Education, Tamil Nadu. She completed Ph.D. in Mathematics from Indian Institute of Engineering Science and Technology, Shibpur with specialization in Mathematical modeling in ecological systems.
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