EVENT TITLE: Bridge Course on Business Statistics and Logics

DATE:  04-08-2025 – 08.08.2025

TIME:  Four days

VENUE:  Easwari Campus, Electronics Block, First Floor, Ramapuram, Chennai – 89.

EVENT CONVENER:  Dr. C. Kayelvizhi,  Department of the Mathematics,  SRM Institute of  Science and Technology,  Ramapuram, Chennai – 89.

EVENT ORGANIZER: Dr. T. Harikrishnan, HOD i/c, Department of the Mathematics, SRM Institute of  Science and Technology, Ramapuram, Chennai – 89.

SUMMARY OF THE EVENT:

The Faculty of Science and Humanities, Department of Mathematics, SRM Institute of Science and Technology, Ramapuram, is organizing a Bridge Course for Business Administration students from 04 August 2025 to 08 August 2025 at the Easwari Campus, Electronics Block (First Floor). This initiative aims to strengthen the foundational knowledge of first-year BBA students, especially those lacking a strong background in mathematical statistics and probability. The course is designed to equip participants with essential concepts in statistics, probability, and logical reasoning, thereby enabling them to excel in subsequent academic pursuits.

The event will be conducted by experienced faculty members of the Department of Mathematics. The resource persons for the sessions include:

  • Dr. N. Ramalingam, Assistant Professor
  • Dr. S. Sindhuja, Assistant Professor
  • Dr. C. Kayelvizhi, Assistant Professor and Convener of the program
  • Dr. A. Savitha Mary, Assistant Professor

The program schedule is as follows:

  • 04.08.2025 (10:00–10:50): Dr. N. Ramalingam
  • 05.08.2025 (14:50–15:40): Dr. S. Sindhuja
  • 07.08.2025 (08:00–10:00): Dr. C. Kayelvizhi
  • 08.08.2025 (08:00–10:00): Dr. A. Savitha Mary

The course is being organized under the leadership of Dr. T. Harikrishnan, Head of the Department (i/c), with administrative support from the Vice President (Admin) and the Dean of Science and Humanities.

The Bridge Course serves as an important preparatory step for new BBA students, helping them transition smoothly into their academic curriculum by ensuring they possess the necessary quantitative and analytical skills. It reflects the department’s commitment to fostering academic readiness, enhancing learning outcomes, and providing a strong knowledge base in business statistics and logic from the outset of the students’ program.

Key Highlights: 

  • Introduction to Business Statistics – Importance, applications in business decision-making, and role in management.
  • Basic Concepts of Statistics – Data types, classification, tabulation, and representation of data.
  • Graphical Representation of Data – Bar diagrams, pie charts, line graphs, and frequency polygons.
  • Measures of Central Tendency – Mean, median, and mode with examples relevant to business contexts.
  • Introduction to Probability – Fundamental rules, basic probability concepts, and simple applications.
  • Basic Logic and Reasoning – Propositions, logical connectives, truth tables, and basic reasoning techniques for problem-solving.

OUTCOMES OF THE PROGRAM: (Based of SDG)

SDG 4 (Quality Education):

  • The Bridge Course directly supports Quality Education by providing inclusive and equitable learning opportunities for first-year BBA students, especially those without a strong background in mathematical statistics.
  • For students, it ensures access to structured foundational learning in statistics, probability, and logic, enabling them to perform better in their academic journey and apply these skills in real-world business scenarios.
  • For faculty, it promotes innovation in teaching methods by incorporating business-oriented examples, enhances curriculum delivery for diverse learner needs, and strengthens the department’s academic readiness initiatives.

SDG 8 (Decent Work and Economic Growth):

By equipping students with essential analytical and logical skills, the program contributes to developing a workforce capable of critical thinking and data-driven decision-making.

  • Business Data Interpretation: Training in reading and interpreting business data tables and charts to inform management decisions.
  • Logical Problem-Solving in Business: Using propositions and reasoning to evaluate strategies and predict outcomes.
  • Basic Probability Applications: Assessing risks, forecasting trends, and supporting operational planning in business contexts.

SDG 9 (Industry, Innovation, and Infrastructure):

The concepts covered in the Bridge Course have direct applications in industry and innovation:

  • Business Analytics Models: Applying statistical methods to market research, sales forecasting, and operational efficiency studies.
  • Process Optimization: Using measures of central tendency to identify production trends and optimize resources.
  • Decision Network Mapping: Employing logic and reasoning frameworks for strategic planning in organizational networks.

SDG 11 (Sustainable Cities and Communities):

Understanding statistical and logical reasoning skills also benefits urban and community planning:

  • Population and Market Analysis: Using data classification and frequency distributions to map population segments for targeted services.
  • Resource Allocation Models: Applying probability and statistical inference to ensure equitable distribution of goods and services.
  • Community Decision Frameworks: Employing logical reasoning to design fair and transparent policy-making processes.