Program Outcome And Course Outcome

The B.Sc. (Data Science) program is designed to equip graduates with a comprehensive and future-ready skill set, enabling them to:

• Demonstrate proficiency in data analysis using statistical and computational techniques.
• Attain mastery in machine learning methods, including both supervised and unsupervised approaches.
• Develop expertise in big data technologies such as Hadoop, Spark, and cloud-based tools.
• Apply data science methodologies effectively within specific domains like healthcare, finance, marketing, and more.
• Understand and uphold ethical standards, with strong awareness of data privacy and responsible data use.
• Communicate data-driven insights clearly and effectively to both technical and non-technical audiences.
• Think critically and solve complex, real-world problems using data-informed strategies.
• Embrace continuous learning and adapt to rapidly evolving technologies and industry trends.
• Work collaboratively in multidisciplinary teams, integrating diverse perspectives and expertise.
• Apply both quantitative and qualitative research skills in data-driven investigations.
• Exhibit leadership qualities and make informed decisions grounded in data evidence.

Semester I – Course Outcomes
1. Python Programming

• CO1: Ability to use variables with different data types and input-output functions.
• CO2: Ability to use control statements and operators in programming.
• CO3: Proficiency in using functions and strings.
• CO4: Acquire knowledge of dictionaries.

2. Descriptive Statistics

• CO1: Able to organize, manage, and present data.
• CO2: Understand the use of Measures of Central Tendencies and Dispersion.
• CO3: Understand and compute consistent and inconsistent data.
• CO4: Identify the association between variables.
• CO5: Understand forecasting techniques and find cause-effect relationships through regression.

3. Practical 1 (Python + Descriptive Statistics)

• CO1: Ability to use all data types in different ways.
• CO2: Implement user-defined, built-in, and lambda functions.
• CO3: Use arrays and strings in Python programming.
• CO4: Understand data analysis through programming.
• CO5: Study relationships between variables using correlation and regression techniques.

4. Excel for Business

• CO1: Understand spreadsheet structures and financial model components.
• CO2: Identify appropriate financial models and software tools.
• CO3: Design well-structured, error-free financial models.
• CO4: Apply advanced Excel functions for effective modelling.
• CO5: Use PivotTables, form controls, and formatting techniques to enhance presentation.

5. Web Technology

• CO1: Design well-structured web pages using HTML5.
• CO2: Apply CSS styling techniques.
• CO3: Implement dynamic behavior using JavaScript.
• CO4: Use jQuery for DOM operations and animations.
• CO5: Work with JSON for client-server communication.

6. Communication Skills in English – I

• CO1: Interpret texts from multiple perspectives.
• CO2: Develop interest in listening and visual media.
• CO3: Gain proficiency in LSRW skills.
• CO4: Develop strong oral and written communication skills.

7. Indian Financial System

• CO1: Describe the structure of the Indian financial system.
• CO2: Explain roles of banking institutions and regulatory frameworks.
• CO3: Understand insurance and its role in financial planning.
• CO4: Gain awareness of financial habits like saving and budgeting.
• CO5: Build foundational understanding of everyday financial services.

8. Social Media and Communication

• CO1: Describe the evolution and impact of social media.
• CO2: Analyze the influence of modern platforms on digital interactions.
• CO3: Evaluate ethical and privacy challenges in social media.
• CO4: Apply social media knowledge in academic and professional contexts.

9. Indian Knowledge System (IKS)

• CO1: Understand and appreciate Indian knowledge traditions.
• CO2: Recognize Indian contributions across fields.
• CO3: Enhance subject awareness and self-esteem.
• CO4: Understand the interconnection of various knowledge systems.

10. Environmental Systems and Management – I

• CO1: Explain ecosystems and energy flow in food chains/webs.
• CO2: Identify pollution sources and suggest control strategies.
• CO3: Analyze biodiversity loss and its causes.
• CO4: Understand human-environment interaction and sustainable practices.

11. Fitness and Sports – I
(Outcomes partially mentioned in the document, but typically include:)

• CO1: Understand principles of physical fitness and wellness.
• CO2: Participate actively in physical training and yoga.
• CO3: Apply knowledge of nutrition and health in daily life.

    
Semester II – Course Outcomes
1. Linear Algebra

• CO1: Understand and apply concepts of matrices and operations.
• CO2: Solve systems of equations using matrix methods.
• CO3: Understand vector spaces, linear independence, basis, and dimension.
• CO4: Use eigenvalues and eigenvectors in data analysis and machine learning.
• CO5: Apply linear algebra concepts to real-world data problems.

2. Inferential Statistics

• CO1: Understand the basic concepts of probability and distributions.
• CO2: Use hypothesis testing to make statistical decisions.
• CO3: Apply estimation techniques and confidence intervals.
• CO4: Analyze real-world problems using inferential techniques.
• CO5: Interpret and communicate statistical findings effectively.

3. Practical 2 (Linear Algebra + Inferential Statistics)

• CO1: Perform matrix operations and solve linear systems computationally.
• CO2: Simulate probability distributions and sampling.
• CO3: Conduct hypothesis tests using real datasets.
• CO4: Develop basic data models based on statistical inference.
• CO5: Gain hands-on experience in applying statistical methods using programming tools.

4. Introduction to Database Management Systems

• CO1: Understand fundamental DBMS concepts and architecture.
• CO2: Design entity-relationship models and convert them to relational schemas.
• CO3: Formulate and execute SQL queries.
• CO4: Normalize database schemas to remove redundancy.
• CO5: Understand transaction management and concurrency control.

5. Data Structures

• CO1: Understand and implement basic data structures like arrays, stacks, queues, and linked lists.
• CO2: Apply tree and graph structures to solve computational problems.
• CO3: Analyze algorithm performance using time and space complexity.
• CO4: Use appropriate data structures in software design.
• CO5: Develop problem-solving skills in structured programming.

6. Communication Skills in English – II

• CO1: Enhance listening, speaking, reading, and writing skills.
• CO2: Engage in formal and informal communication with clarity.
• CO3: Interpret texts critically and express ideas effectively.
• CO4: Develop professional email and report writing skills.

7. Business Process and Decision Support System

• CO1: Understand the structure and function of business processes.
• CO2: Gain knowledge of decision support system components.
• CO3: Apply DSS in real-time business problem-solving.
• CO4: Analyze decision-making models using data-driven techniques.

8. Digital and Business Marketing

• CO1: Understand the fundamentals of digital marketing strategies.
• CO2: Apply SEO, SEM, and content marketing techniques.
• CO3: Utilize social media and email marketing effectively.
• CO4: Analyze digital campaigns using analytics tools.
• CO5: Apply digital marketing knowledge in a business context.

9. Mental Well-being and Stress Management

• CO1: Understand the concept of mental health and its importance.
• CO2: Recognize signs and symptoms of stress and mental distress.
• CO3: Apply practical strategies for stress management.
• CO4: Develop resilience and emotional well-being practices.

10. Environmental Systems and Management – II

• CO1: Understand global environmental issues and sustainable development.
• CO2: Explore climate change and its effects on natural systems.
• CO3: Evaluate policies for environmental conservation.
• CO4: Promote eco-friendly practices and environmental ethics.

11. Fitness and Sports – II
(As with Semester I, the COs are brief but generally include:)

• CO1: Improve physical fitness through regular activities.
• CO2: Apply principles of yoga, physical training, and sportsmanship.
• CO3: Promote holistic well-being through physical and mental balance.