At the end of three-year B.Sc. AI & ML, the students will be able:
SEMESTER I - COURSE OUTCOME
Python Programming
CO 1. Ability to use variables with different data types and input output functions.
CO 2. Ability to use control statements and operators in programming.
CO 3. Proficiency in using function and strings.
CO 4. Acquire knowledge of dictionaries.
Artificial Intelligence & Machine Learning Fundamentals
CO1: Describe the basic concepts, history, and applications of Artificial Intelligence and Machine Learning.
CO2: Apply simple AI problem-solving techniques such as search strategies.
CO3: Differentiate between supervised, unsupervised, and reinforcement learning with real-world examples.
CO4: Demonstrate the working of basic ML algorithms like regression, classification, and clustering.
CO5: Discuss the challenges, limitations, and ethical aspects of AI and ML.
Mathematics for AI & ML – I
CO1. Apply linear algebra concepts to data transformation, dimensionality reduction, and feature extraction in ML.
CO2. Use probability theory and statistical measures to analyze and interpret data distributions.
CO3. Apply Bayes’ theorem and random variable modeling to develop probabilistic learning algorithms.
CO4. Integrate linear algebra and probability concepts in solving real-world AI/ML problems such as classification and clustering.
Indian Financial Systems
CO1. Describe the structure and components of the Indian financial system.
CO2. Explain the roles and functions of various banking institutions and the regulatory framework.
CO3. Understand the concept and significance of insurance in financial planning.
CO4. Gain awareness of essential financial habits such as saving, budgeting, and basic investment concepts.
CO5. Build a foundational understanding of financial services relevant to individuals in everyday life
Social Media and Communication
CO1. Describe the historical evolution and foundational concepts of social media platforms and their societal impact.
CO2. Analyze the features and influence of major modern social media platforms, including their role in shaping digital interactions.
CO3. Evaluate the ethical, privacy, and algorithmic challenges associated with social media usage in contemporary digital society.
CO4. Apply knowledge of social media tools and technologies in academic, interpersonal, and professional contexts.
Web Designing – Lab
CO1. Design valid, well-formed, scalable, and meaningful pages using emerging technologies.
CO2. Understand the various platforms, devices, display resolutions, viewports, and browsers that render websites
CO3. Develop and implement client-side and server-side scripting language programs.
CO4. Develop and implement Database Driven Websites.
CO5. Design and apply XML to create a markup language for data and document centric applications
Python Programming – Lab
CO1: Write Python programs using variables, operators, and expressions.
CO2: Apply conditional statements, loops, and functions to solve problems.
CO3: Implement and manipulate Python’s built-in data structures (lists, tuples, sets, dictionaries).
CO4: Perform file handling and basic exception handling in Python.
CO5: Utilize Python libraries (NumPy, Pandas, Matplotlib) for simple data processing and visualization tasks.
Communication Skills in English I
CO1. Understand and interpret any text they are reading from different perspectives
CO2. Arouse the interest of learners in listening to and watching good-quality audio and visual media
CO3. Acquire proficiency in the skills of listening, speaking, reading, and writing that will help them meet the challenges of the world
CO4. Develop good oral and written skills of communication in the English language
Green Technologies
CO1: Explain the need and significance of green technologies in addressing environmental challenges.
CO2: Demonstrate understanding of renewable energy systems and sustainable practices.
CO3: Analyze the role of green innovations in waste management, transportation, and urban planning.
CO4: Apply eco-friendly approaches to promote sustainable development in personal and community life.
Indian Knowledge System
CO1. Learner will understand and appreciate the rich Indian Knowledge Tradition
CO2. Learner will understand the contribution of Indians in various fields
CO3. Learner will experience increase subject-awareness and self-esteem
CO4. Learner will develop a comprehensive understanding of how all knowledge is ultimately intertwined
Fitness and Sports-I (NUCC103)
CO1: Understand the importance of physical fitness and health.
CO2: Perform basic physical exercises and sports activities.
CO3: Develop teamwork, discipline, and sportsmanship.
CO4: Maintain a healthy and active lifestyle.
SEMESTER II - COURSE OUTCOME
Generative AI Workflows
CO1: Describe the foundations of Generative AI and its applications in real-world domains.
CO2: Explain the key components of generative AI workflows such as data preparation, model selection, and evaluation.
CO3: Differentiate between text, image, audio, and multimodal generative AI models with examples.
CO4: Apply simple generative AI tools to create outputs such as text generation, image synthesis, and chatbots.
CO5: Discuss the ethical, legal, and social issues of generative AI.
Fundamentals of Database Management System
CO1. Analyze database requirements and design entity-relationship models for a given system.
CO2. Create and manage relational databases using MySQL commands for data manipulation and query execution.
CO3. Apply normalization techniques to improve database efficiency and integrity.
CO4. Implement data access control using permissions, and understand indexing for query optimization.
Mathematics for AI & ML – II
CO1. Apply calculus concepts such as derivatives, gradients, and Taylor expansions to analyze ML models.
CO2. Compute and interpret gradients for backpropagation in neural networks.
CO3. Apply optimization techniques such as gradient descent, SGD, and Lagrangian methods to minimize loss functions.
CO4. Demonstrate the ability to use numerical and optimization methods in training and fine- tuning ML algorithms.
Data Wrangling
CO1: Understand the fundamentals and importance of data wrangling in AI/ML workflows.
CO2: Apply techniques to clean, preprocess, and transform raw datasets.
CO3: Handle missing, inconsistent, and noisy data using standard tools. CO4: Perform exploratory data analysis to prepare datasets for modeling.
CO5: Demonstrate the ability to document and validate cleaned datasets for AI/ML tasks.
Basics of Stock Market
CO1. Explain the basic structure of stock markets, key participants, and commonly used investment terms.
CO2. Differentiate between various investment options and evaluate them based on risk and return, with basic understanding of portfolio diversification
Research Principles and Practices
CO1. Gain a clear understanding of what research is and why it is important in academic and professional fields.
CO2. Learn the difference between qualitative and quantitative research methods and when to apply them.
CO3. Be able to identify research topics, review related literature, and frame effective research questions and hypotheses.
CO4. Understand various research designs and how to choose appropriate methods for different types of studies.
CO5. Acquire the skills to prepare a structured and ethical research proposal, ready for academic or practical use.
Data Visualization & Exploratory Data Analysis – Lab
CO1: Perform data wrangling and preprocessing on raw datasets.
CO2: Apply appropriate visualization techniques to explore data.
CO3: Interpret statistical and graphical summaries of datasets.
CO4: Use Python libraries to perform exploratory data analysis on real-world data.
Fundamentals of Database Management Systems – Lab
CO1: Identify entities, relationships, and attributes to design ER diagrams.
CO2: Apply SQL commands to create databases, manage tables, and perform CRUD operations.
CO3: Use advanced SQL features such as joins, subqueries, aggregate, string, date, and math functions.
CO4: Convert ER models into relational models and normalize them up to 3NF.
CO5: Manage users, permissions, and transactions (COMMIT/ROLLBACK).
CO6: Apply knowledge to real-life scenarios by building mini-projects on Hotel Reservations and Inventory Management.
Communication Skills in English II
CO1. Acquire proficiency in English for media-specific platforms and forums
CO2. Speak and write effectively for diverse media platforms
CO3. Enhance critical abilities to present effective social media content
CO4. Understand the roles and functions of English in global media framework
CO5. To attain proficiency in understanding media trends at a global level
Digital Tools for Sustainability
CO1: Explain the role of digital tools in advancing sustainable practices.
CO2: Use knowledge of ICT, IoT, and AI applications for environmental monitoring and management.
CO3: Analyze how data, digital platforms, and blockchain contribute to sustainability.
CO4: Demonstrate awareness of real-world digital solutions supporting SDGs and smart city initiatives.
Fitness & Sports-II (NUCC203)
CO1: Understand importance of physical fitness and health.
CO2: Develop physical endurance and coordination.
CO3: Promote teamwork and sportsmanship.