B.S. in Data Science & Analytics (DSE355)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall fundamental security goals, cryptographic principles, and common ciphers. CO2 UNDERSTANDING Explain symmetric/asymmetric encryption algorithms, hashing, and digital signatures. CO3 APPLYING Apply cryptographic algorithms, steganographic techniques, and secure communication protocols. CO4 ANALYSING Analyze vulnerabilities, attacks, and security risks in digital systems. CO5 EVALUATING Evaluate privacy policies, security mechanisms, and legal compliance requirements. CO6 CREATING Design secure systems incorporating cryptography, data hiding, and privacy-by-design principles.
B.S. in Data Science & Analytics (DSE354)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall and identify fundamental concepts, theories, and models of consumer behaviour. CO2 UNDERSTANDING Explain and interpret how consumer behaviour theories and models apply in different market contexts. CO3 APPLYING Use statistical and machine learning methods to solve consumer and market research problems. CO4 ANALYSING Examine cultural, social, psychological, and personal factors that shape consumer decision- making. CO5 EVALUATING Critically assess research findings and provide evidence-based judgments for marketing strategies. CO6 CREATING Design and execute original market research studies and present innovative, actionable insights for decision-making.
B.S. in Data Science & Analytics (DSM353)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall fundamental concepts and architecture of operating systems. CO2 UNDERSTANDING Explain the structure and functioning of processes, memory, and file systems. CO3 APPLYING Apply concepts of scheduling, memory management, and synchronization. CO4 ANALYSING Analyze and compare different OS strategies and algorithms. CO5 EVALUATING Evaluate the performance and suitability of OS components for given scenarios. CO6 CREATING Design and implement basic Unix shell scripts for OS-level tasks.
B.S. in Data Science & Analytics (DSM352)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall fundamental security goals, cryptographic principles, and common ciphers. CO2 UNDERSTANDING Explain symmetric/asymmetric encryption algorithms, hashing, and digital signatures. CO3 APPLYING Apply cryptographic algorithms, steganographic techniques, and secure communication protocols. CO4 ANALYSING Analyze vulnerabilities, attacks, and security risks in digital systems. CO5 EVALUATING Evaluate privacy policies, security mechanisms, and legal compliance requirements. CO6 CREATING Design secure systems incorporating cryptography, data hiding, and privacy-by-design principles.
B.S. in Data Science & Analytics (DSM351)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall key machine learning concepts, types, and terminology. CO2 UNDERSTANDING Explain the principles behind supervised, unsupervised, and ensemble learning techniques. CO3 APPLYING Implement ML algorithms for regression, classification, and clustering using Python libraries. CO4 ANALYSING Analyze model performance using appropriate metrics and validation techniques. CO5 EVALUATING Evaluate the suitability of various models and tune hyperparameters effectively. CO6 CREATING Develop complete machine learning solutions and deploy models using Python.
B.Sc. in Statistics (STM364T)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall fundamental concepts of quality control, control charts, and variation in industrial processes. CO2 UNDERSTANDING Explain the principles of Statistical Quality Control (SQC) and the theory behind control charts for variables and attributes. CO3 APPLYING Apply methods for constructing x̄, R, S, p, np, c, and u charts to monitor process quality. CO4 ANALYSING Analyse control charts to detect assignable causes of variation and interpret process behavior. CO5 EVALUATING Evaluate process control performance using tolerance limits, specification limits, and operating characteristic (OC) function. CO6 CREATING Design quality control procedures and select appropriate control charts for real-world industrial applications.
B. Sc. in Mathematics (MAMDC364P)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall and define the basic properties of graphs; identify and compute order, size, degree, and completeness of given graphs. CO2 UNDERSTANDING Explain and construct incidence and adjacency matrices; interpret walks, paths, and cycles to understand the structure of graphs. CO3 APPLYING Apply Breadth First Search (BFS), Backtracking, and Dijkstra’s Algorithm to determine the shortest paths between vertices in connected and weighted graphs. CO4 ANALYSING Analyze connectivity of graphs using adjacency matrices and the fusion algorithm; decompose graphs to identify components and relationships among vertices. CO5 EVALUATING Evaluate Euler circuits using Fleury’s algorithm; assess the correctness and optimality of minimal spanning trees obtained through Prim’s and Kruskal’s algorithms. CO6 CREATING Design and implement algorithms to model and solve real- world problems using graph representations; construct efficient graph-based solutions for network and optimization problems.
B. Sc. in Mathematics (MAM363P)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall and define the basic concepts of rings, commutative rings, rings with unity, and finite rings; construct their operation tables and verify ring axioms. CO2 UNDERSTANDING Explain and interpret the structures of ideals, integral domains, quotient rings, finite and extension fields, and distinguish between maximal and prime ideals. CO3 APPLYING Apply the Euclidean algorithm to find the GCD of two polynomials; test irreducibility and perform factorization; determine rational zeros over various fields. CO4 ANALYSING Analyze graph connectivity using adjacency matrices and fusion algorithms; determine shortest paths, minimum spanning trees, and Euler tours using Kruskal’s, Prim’s, Dijkstra’s, Breadth-First, Backtracking, and Fleury’s algorithms. CO5 EVALUATING Evaluate and test the properties of metric spaces, compactness, and connectedness; assess uniform convergence of sequences and series using appropriate theorems and convergence tests. CO6 CREATING Develop and construct new quotient rings, operation tables, and examples of finite fields and extension fields; design algorithms and proofs involving uniform convergence and power series.
B. Sc. in Mathematics (DSCCMAT362T)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall the fundamental definitions and properties of relations, groups, rings, fields, subgroups, and ideals. CO2 UNDERSTANDING Explain the basic concepts of algebraic structures and interpret theorems such as Lagrange’s, Euler’s, and Fermat’s in context. CO3 APPLYING Apply the properties of groups, rings, and fields to solve algebraic problems CO4 ANALYSING Examine subgroup, coset, and ideal structures and distinguish between different algebraic systems. CO5 EVALUATING Test algebraic properties using relevant theorems and validate structures. CO6 CREATING Construct new examples of groups, rings, subrings, quotient rings, and demonstrate homomorphisms and isomorphisms.
B. Sc. in Mathematics (DSCCMAT361T)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall definitions, standard results, and fundamental concepts related to Riemann integration, convergence of sequences and series, and power series. CO2 UNDERSTANDING Explain the concepts of Riemann integrability, improper integrals, convergence and divergence of series, and the meaning of absolute and conditional convergence. CO3 APPLYING Apply appropriate tests to determine convergence of sequences and series, evaluate Riemann and improper integrals, and obtain expansions of elementary functions using power series. CO4 ANALYSING Analyze the behavior of sequences, series, and power series using limit superior, limit inferior, and convergence criteria, and distinguish between different types of convergence. CO5 EVALUATING Assess the validity of convergence tests, integrability conditions, and series expansions, and justify conclusions using rigorous mathematical reasoning. CO6 CREATING Construct power series representations, Taylor and Maclaurin expansions, and develop approximations or simple differential equation solutions using series methods.
