It can always be daunting to choose from an array of subjects, especially since the battle between the heart and the brain is always unresolved. Should I go for a laid-back OE and get one subject off my back? Or should I study that subject which will look shiny on the CV? How desperate is the need to improve my CGPA, or how much can I compromise with my grades? To make that choice slightly easier, here’s an article which covers the course content of the electives offered for the sixth semester, along with inputs from students.
Editors’ Note: The information provided here will be updated as and when more of it becomes available.
AAE 4304: Introduction to Avionics and Navigation Systems
The course syllabus is said to be mostly easy, so you can score well with a minimal amount of studying. It involves an introduction to aircraft and flight mechanisms, dynamics of aircrafts, avionics, power systems and satellite communication. The professor is nice and lenient when it comes to attendance.
Course Summary: Introduction to aircraft, Introduction to flight mechanics and flight dynamics of aircraft & UAV, Introduction to Avionics in aircraft & spacecraft., Displays, HMI, I/O Devices and Power, Packaging, do 178B/C Software, ARINC and DOD Types, System Cooling, EMI/EMC Requirements; Aircraft Power Systems: Electrical Power Generation and Distribution Systems, Digital Communication, Digital Data Bus System, ARINC-429,629, AFDX, MIL-STD-1553, Fiber Optic Comm. Satellite Communication, Flight control laws, FBW, Autopilot, FMS, LRU, IMA & Mission Systems. Inertial Sensors and Inertial Navigation Systems, Multisensory Navigation Systems, Kalman filter basics & Mechanization. Elements of Navigation Systems, Satellite Navigation Systems, Antenna Design, Analysis and placement on aerospace vehicle, Aircraft circuit design on proteas, Radar & Landing Systems.
BIO 5052: Introduction to Biofuels & Biopolymers
This course involves the synthesis of biofuels and biopolymers, renewable energy sources and their use in the present world, life cycle analysis of biofuels, and synthetic polymers. A lot of rote learning involved, but overall a chill OE.
Course Summary: Renewable energies and significance of biofuels, feedstocks for various biofuels, Life Cycle Analysis (LCA) of biofuels, ethanol from fermentation and comparison of different technologies, diesel from Jatropha, waste cooking oils, and Microalgae, biogas and biological hydrogen, and basic concepts of microbial fuel cells; introduction to biopolymers, Biopolymers vs. Synthetic polymers; Synthesis of biopolymers such as Starch, Hemicellulose etc, Commercially available biopolymers, uses of biopolymers, Manufacturing technologies, Fillers & Reinforcement, Market & Economics, Biodegradability.
BME 4303: Rehabilitation Engineering
A relatively new course, it consists of application-oriented engineering sciences. A lot of conceptual learning is required. The faculty does an okayish job and gives good notes. Not a very useful subject overall.
Course Summary: Introduction to rehabilitation engineering and assistive technology: principles, engineering concepts in sensory rehabilitation, motor rehabilitation and communication disorders. Orthopedic prosthetics & orthosis in rehabilitation technology: fundamentals of design of upper and lower extremity prosthetic and orthotic devices, applications. Mobility aids: mobility aids for the blind, discussion of design and function of robotic aids, wheel chairs. Sensory augmentation & substitution: visual, auditory and tactile sensory augmentation & substitution. Conversion aids for non-vocal physically impaired persons: characteristics and design considerations for conversion aids, biofeedback in communicative disorders, artificial larynx. Principles and applications of electrical stimulation: artificial electrical stimulation of nerves and muscles, applications. Conceptual frameworks, education and quality assurance.
BME 4305: Introduction to Nanotechnology and Characterization Techniques
This OE has not been offered before and is an elective handled by the Biomedical department.
Course Summary: Introduction nanotechnology: Nanomaterials- classifications, synthesis methods, nanostructured system by self-assembly, biomimetic and biomolecular recognition assembly, surface functionalization of nanoparticles, nanocomposites. Characterization tools for nanomaterials and Nano systems-structural and chemical characterization techniques. Properties of nanomaterials: – mechanical properties, optical properties, surface Plasmon resonance, quantum size effects, introduction to Nano electronics. Nanotechnology for drug delivery, nanotechnology for diagnosis, prognosis, and disease status: – biomedical imaging, biosensors and drug delivery. Therapeutic nanotechnology, nanotechnology for implant materials and tissue engineering, cosmetics, nanotechnology safety concerns.
CHE 4302: Risk and Safety Management in Industries
This OE has not been offered before and is an elective handled by the Chemical Engineering department.
Course Summary: Safety in plants: Hazard analysis, damage minimisation, fires, fire extinguishers, handling, contamination removal, reduction methods, personal protective devices, Plant and personal safety. Pressure vessels, handling and transportations of liquids and gases under high pressure, explosive chemicals and handling. Safety administration, safety committee, safety education. First aid principles and methods, plant inspection. Engineering design for safety considerations. Hazards in work places, workers exposure to hazardous chemicals, threshold limit values of chemicals, engineering control of hazards and accidents due to fire and explosives and natural causes in different industries. Safety management, safety performance, motivation of employees, supervisors, managers and management, legal aspects of safety.
CHM 4302: Fundamentals of Industrial Catalytic Processes
This course is centred in the chemical industry. A brief study of the production of useful chemical products. It is a full-on theory subject and requires a lot of rote learning. Involves memorising numerous chemical equations, and reaction products. If you’re into chemical engineering, this course would be a walk in the park, and useful at the same time.
Course Summary: Adsorption & Catalysis: Physisorption and chemisorption, Adsorption isotherms, Factors influencing adsorption, Adsorption of gases by solids, Adsorption from solution, Introduction to catalysis, Energetics, Catalytic cycles Solutions & Solubility: Ideal and non-ideal solutions, Raoult’s law, Thermodynamics of ideal solutions, Vapor pressure and boiling point composition curves, Distillation behaviour of completely miscible & immiscible liquid systems, Azeotropes Colligative Properties: Determination of molar masses from vapor pressure lowering, Osmotic pressure, Boiling point elevation and Depression of freezing point, Vant Hoff’s factor Colloids: Types, Preparation and purification of sols, General properties, Optical, Electrical & Kinetic properties of sols, stability of sols, Application of colloids, Emulsions & Gels- Types, Preparation, Properties and their applications.
CHM 4303: Sustainable Chemical Processes and Products
A study that delves into alternative processes to promote sustainable living conditions, this is another new course which highlights the importance of growing awareness in balancing social and environmental objectives in the industrial as well as individual level. Relatively easy courses warrant higher cut-offs.
Course Summary: Introduction and principles of green chemistry, Examples, Atom economy, carbon efficiency, life cycle analysis, sustainable products, process and synthesis catalysis and green chemistry, examples of fine and bulk chemicals production, catalysts for clean technology. Application of ecofriendly approach to waste treatment. Cleaner production processes, clean synthesis in lab Scale, industrial examples, use of ecofriendly energies. Bio-pesticides, polymers & pharmaceutical products. Electrochemical synthesis, Alternate reaction media using water and other green solvents, ionic liquids & supercritical fluids; phase transfer catalysis
CIE 4302: Contract Management for Engineers
Contract Management deals with how to make a contract right up to how you can follow up on it till the deal is set. It’s a pretty theoretical subject, deals mostly with bidding, tendering and so on. Since it is offered by the Department of Civil Engineering, it revolves around contracts made in that very disciplinary. However, much of it is relatable to the real world as well.
Course Summary: Introduction to contracts, Types of contracts, Tendering process, Dispute resolution, Conciliation, International contracts / contracts with international funding: International Competitive Bidding, Domestic Preference, FIDIC Documents, Conditions, Currency of Bid and Payment, Escalation in Foreign Currency, Financing of projects, Applicable Law and Settlement of Disputes, International Arbitration.
CIE 4303: Environmental Management
This is one course which seems to be laid-back but is the exact opposite. There is a lot of rote learning involved. The professor is pretty good at the subject, so opt for this only if you’re really interested.
Course Summary: Overview of the state of the global environment, the earth’s natural systems, sustainability and sustainable development, environmental management system (EMS), Environmental Ethics, Laws, International Environmental Legislation, Life Cycle Assessment Components of LCA, ISO 14000 series, Auditing, Environmental Economics and environmental design-application.
CSE 4304: Principles of Database Systems
This course requires you to have some prior knowledge of scripting languages, so only opt for it if you’re already familiar with the basic tenets of programming. It teaches you how to create and manage the database of any organization, how to store a huge amount of database of years and how to query the results as per the needs of clients. Useful for Non CSE students as every field in the world today has tons of data, and it helps if you have prior knowledge of how to handle that data. The professor is helpful, but scoring is a problem. However, subject is not that tough, it is quite interesting.
Course Summary: Database-System Applications, Purpose of Database Systems, View of Data, Database Languages, Relational Databases, Database Design, Data Storage and Querying, Transaction Management, Database Architecture, Database Users and Administrators, Structure of Relational Databases, Overview of the Design Process, The Entity-Relationship Model, Constraints, Removing Redundant Attributes in Entity Sets, Entity- Relationship Diagrams, Reduction to Relational Schemas, Entity- Relationship Design Issues, SQL Data Definition, SQL Data Types and Schemas, Integrity Constraints, Basic Structure of SQL Queries, Set Operations, Aggregate Functions, Nested Subqueries, Additional Basic Operations, Null Values, Modification of the Database, Features of Good Relational Design, Atomic Domains and First Normal Form,
Decomposition Using Functional Dependencies, Functional Dependency Theory, Algorithms for Decomposition, Decomposition Using Multivalued Dependencies, RAID, File Organization, Basic Concepts, Ordered Indices, Transaction Concept, A simple Transaction model, Transaction Atomicity and Durability, Transaction Isolation, Serializability, Lock-Based Protocols, Recovery and Atomicity.
CSE 4307: Programming in C#
This OE has not been offered before and is an elective handled by the Computer Science department.
Course Summary: NET Architecture: Applications Using C# C# Basics: Advanced concepts: Delegates, Events, Memory Management under the Hood, Freeing Unmanaged Resources, strings, and regular expressions, Collections, Reflections, Errors and Exceptions. The .NET environment: Working with Visual Studio .NET 2003 (higher version can also be considered. E.g.: 2017), Assemblies and Structure, Cross-Language Support, Global Assembly Cache, Creating Shared Assemblies. .NET Security: Role-Based Security, Managing Security Policy, Threading. Localization: Namespace System. Globalization, Resources, Localization Example Using Visual Studio .NET, Creating a Windows Form Application, Graphics with GDI+, Introduction to WCF and WPF.
CSE 4310: Web Programming
This OE has not been offered before and is an elective handled by the Computer Science department.
ECE 4305: Introduction to Nano Science & Technology
An interesting course, but the faculty might not be so great. One of the more scoring courses in E&C, it is an introduction to the world of nano-tech and nano-robots. Not too hard if you pay attention in class.
Course Summary: Classical particles, waves and wave particle duality. Black body radiation, photoelectric effect, interference, diffraction. Schrodinger wave equation. Atoms and atomic orbitals. Quantum structures. Crystal lattices, bonding in crystals, metals, semiconductors, direct and indirect band gap semiconductors, semiconductor alloys, hetero-structures, organic semiconductors, carbon nano-structures. Graphene preparation techniques. Characterization.
ECE 4306: MEMS Technology
This course only barely brushes the basics of MEMS technology. The faculty is nice and lenient. Overall, one of the better electrical electives.
Course Summary: Historical background of MEMS. Bulk micromachining, MEMS transduction and actuation techniques, Micro sensing for MEMS, Basic Bio-MEMS fabrication technologies. RF MEMS, Microfluidic devices and components for Bio-MEMS, sensing technologies for Bio-MEMS,
Applications. Introduction to MEMS simulation tool.
ELE 4301: Energy Auditing
Course Summary: Energy Types, Needs, Scenario, Energy Security, Environmental Impact,
Energy Reforms, Material & Energy Balance, Consumption Pattern, Sankey Diagram, Energy Policy, Information Systems, Energy Conservation Act 2001, Electricity Act 2003, Energy Reforms, National Action Plan for Climate Change (NAPCC), Standards & Labels ,Energy Audit Purpose & Scope, Types of Energy Audit & Methodologies, Audit Instruments, Energy Management principles, Benchmarking and Strategies, Performance assessment of Electrical utilities, Performance Assessment of Thermal Utilities, Energy Economic Analysis, Role of ESCOs.
ELE 4305: Energy Conversion Technologies
This OE has not been offered previously. The information will be updated as it is made available.
HUM 3306: Introduction to Philosophy, Religion and Culture
This course will be taught by Dr Tungesh GM. Pretty laid back in terms of attendance, he’s one of those professors who is really passionate about what he teaches and makes you appreciate the subject as well. If you’re looking for a subject which is easy to score, this one’s for you. Not very useful for the CV.
Course Summary: Notions of Philosophy; The Origin and Development of Philosophy; Ancient Philosophy; Medieval Philosophy; Modern Philosophy; Contemporary Philosophy; Indian Philosophy; Comparative Religion; Western Philosophy; The Relevance of Philosophy; Branches of Philosophy; Methods of Philosophy; Philosophy and other Branches of Study; Some Problems of Philosophy; Themes of Philosophy; Mind and Body, and the Problem of Universal; Change/Movement time and place; Existence of God and Evolution; Indian Culture; Social Ethics; Logic and Scientific Methods; Philosophy of Language.
HUM 3307: Creative Writing
The faculty is reputed in the humanities department. However, he has a strict attitude and you can obtain a decent score in this subject. Attendance is not an issue as classes often get cancelled. It is better to take this only if you have a knack for writing as there are essay assignments.
Course Summary: Various literary/prose forms and their characteristics; techniques and strategies for reading; nuances of language and meaning in reading and writing; Writing Exercises – techniques and strategies of writing creatively; Critical Concepts and Terms in Literary Writing; Writing Exercises; creative writing output.
HUM 3308: Graphic Novels: History, Form and Culture
This course is taught by Professor Abhay Shetty, so it comes with a promise of fun. It talks about the advent of comics and how they transformed and so on. A moderately chill OE in terms of subject matter, this OE is definitely worth taking if you have a keen interest in comics. Not very useful for the CV.
Course Summary: Part I: The History of Comic Books, Part 1: Developing a Medium Defining comic books as a medium-Relationships between comic books and other forms of sequential art-The (continental) roots of comics as an art form -The ways in which comic strips and pulps contributed to the emergence of the comic book. The History of Comic Books, Part 2: The Maturation of the Medium-Influence of underground movement, ways in which mainstream publishers began to address more relevant topics, proliferation of independent comics, the increase in the profile and prominence of the medium due to ambitious projects. Part II: Creating the Story: Graphic Storytelling and Visual Narrative-Some narrative structures commonly found in comic books -The types and techniques of encapsulation-The nature of the relationship between the pictorial and linguistic elements of comic books Experiencing the Story: The Power of Comics – About diegetic images that show the world of the story About interpretive images that comment on the story-The impact art style has on the emotional reactions of the reader; and how the meaning of each image is affected by the relationship to other images in that particular book, in other texts, and in the reader’s personal experience Part III: Comic Book Genres-the definition of genre and the role it plays in shaping the creation of comics products- the characteristics of genres, including character types, narrative patterns, themes, and other conventions-how the example genres of teen humor, romance, funny animals, horror, and memoir developed in comics, and what characterizes each-how the hybridization of genres helps experimentation and expansion of narrative possibilities.
ICE 4301: Feedback Control Theory
This OE has not been offered before and is an elective handled by the Department of Instrumentation and Control Engineering
Course Summary: Feedback control systems, Mathematical modeling, Derivation of transfer functions for electrical networks, Mechanical systems, Signal flow graph, Masons gain formula, State variable representation of linear systems, Solution of state equations, Time domain specifications for second order systems, Steady state errors of unity feedback systems,
Definitions of stability, Routh Hurwitz criterion, Frequency response – gain margin, phase margin.
ICE 3283: Virtual Instrumentation
This course requires the use of LabView to solve problems and develop models of processes. Not really as tough as it sounds, and scoring here is pretty easy.
Course Summary: Architecture of a virtual instrument, Virtual instruments V/s Traditional
instruments, Advantages of VI, Graphical programming, Creating Virtual Instruments using LabVIEW-Loops, Arrays, Clusters, String and file I/O,Graphs,Data Acquisition, Common Instrument Interfaces, Current loop, System buses, Interface buses, VISA, Image acquisition and
processing, Design of ON/OFF controller for a mathematically described processes using VI software
ICT 4306: Cyber Security
Course Summary: Introduction to Computer Security, Toolbox: Authentication, Access Control and Cryptography, Programming Insights- Non-malicious programs, Malicious Programs, Viruses, Worms, Trojans, Countermeasures, Hacking- Basics of hacking, Phishing, Brute Force Attack, Denial of Service, Distributed Denial of Service Attacks, Penetration Testing, Bots and Botnets, Attacks on The Web, Operating Systems and Networks, Security Countermeasures- Browser Encryption, Onion Routing, IP Security Protocol Suite (IPsec), Virtual Private Networks, Firewalls, Intrusion Detection and Prevention Systems, Network Management, Incidents, Ethics, Case Studies on Cyber Crime and Cyber Terrorism.
ICT 4307: Game Theory and Applications
Course Summary: Introduction to Game Theory and Mechanism Design, Mathematical
Preliminaries, Non-Cooperative Game Theory, Cooperative Game
Theory, Mechanism Design.
IIE 4304: Corporate Finance
This OE has not been offered previously. It is taught by the Manipal Institute of Management.
Course Summary: Introduction to Corporate Finance, Financial Goal, Agency Problems, Managers vs Shareholders Goals, Concepts of Value and Return, Capital Budgeting Decisions, Cost of Capital, Calculation of the Cost of Capital in Practice, Financial and Operating Leverage, Capital Structure, Relevance of Capital Structure, Irrelevance of Capital Structure, Relevance of Capital Structure, Dividend Theory, Dividend Relevance, Dividend Relevance, Dividend and Uncertainty, Dividend Irrelevance, Principles of Working Capital Management.
IIE 4310: Medical Emergency and First Aid
This course is about developing proficiency in medical emergencies and knowing all about how to provide First Aid to victims in emergency situations. It is a mandatory course if you work in any core technical sector, so definitely comes in handy later on. It talks about different emergencies in varied fields. The evaluation pattern involves two sessionals of 15 marks each (sessionals will have 5 MCQs and 5 Short notes) and one assignment of 20 marks along with regular End Semester of 50 marks. Offered by the College of Nursing, the course is both chilled out, and useful in the long run!
Course Summary: Principles of First Aid, First aid kit and equipment, emergency drugs, scene assessment, safety and identifying hazards, patient assessment, Basic Life Support and AED, triage, extrication/stretchers, ambulance. Describe the causes, signs and symptoms and management of respiratory emergencies, acute gastro-intestinal emergencies, musculoskeletal emergencies, dental, ENT and eye emergencies, renal emergencies, nervous system emergencies, hematological emergencies, endocrine emergencies, toxicological emergencies, environmental emergencies, pediatric emergencies, psychiatric emergencies, obstetrical emergencies
IIE 4315: Reporting and Writing
This OE has not been offered previously. It is taught by the School of Communication.
Course Summary: Introduction to news writing news in different media, news, definition of news, news values; types of news other theoretical issues relating to news writing. News Reporting Basic of news writing: structure of news reports; writing the lead; the changes in the composition of the lead; techniques of news gathering; sources of news. Reporting various types of reporting (Objective, Interpretative, Investigative,) General assignment reporting/working on a beat. Reporting for news agency, periodicals and magazines. Interviewing: doing the research, conducting the interview, types and formats of interviews, writing interviews
IIE 4316: Introduction to Avertising & Public Relations
This OE has not been offered previously. It is taught by the School of Communication.
Course Summary: Introduction to advertising; Evolution and history of advertising; Influence of advertising on society and ethics. Advertising as part of marketing mix; Structure and types of ad agencies; Advertising planning; creative strategy and implementation (media strategy). The essentials of advertising on different media platforms – print, broadcast, internet and new media; discuss the difference in planning and execution using examples or campaign case studies. Public Relations-scope; definition; evolution; establish difference between PR and advertising; Identifying stakeholders and various Public Relation tools. Steps in developing a PR program/campaign-stating the problem, planning and programming, action and evaluation; Crisis communication; Ethical issues in Public Relations.
MAT 5281: Applied Graph Theory
A course which encompasses the basics of graphs and relations. Apart from mathematics this a subject heavily used for modelling in the areas of computer sciences,biology,social and information systems. The subject is purely theoretical peppered with derivations. Only opt if you wish to pursue research in the future. Cut-offs soar due to its ease.
Course Summary: Graphs and applications of the theorems by Havel and Hakimi, Erdos and Gallai. Cut points, bridges and blocks, block graphs and cut point graphs. Trees and their characterizations, centre and centroids, blockcut points trees, spanning trees, independent cycles and cocycles, connectivity and line connectivity, Whitney’s theorem. TraversabilityEulerian, Hamiltonian, line graphs and total graphs. Traversability, coverings and independence, theorem of Gallai, critical points and lines. Planarity, genus, thickness, crossing number. Colorability, chromatic number and its bounds, Nordhaus Gaddum theorems, the four and five colour theorems, chromatic polynomial. Matrix Representation -Incident matrix, Adjacency matrix, cycle matrix, cutset matrix, path matrix, Digraphs, Matrix – tree theorem on number of spanning trees. Tournament. Graph theoretic Algorithms: Computer representation of graphs-Input and output, Algorithms for connectedness, Spanning Tree, Fundamental Circuits, Directed Circuits and Shortest paths.
MAT 5284: Mathematical Modelling
This course deals with the characteristics and classification of different mathematical models, by using first order algebra, differential equations and linear programming. The course content is satisfactorily good and it helps to solve real world problems to do well in this subject. Questions like the probability of who will win a battle or how to maximize profit of a farm using a lot of assumptions are common examples. The professor doesn’t make the subject as cool or interesting as it sounds and his poor communication skills don’t help much either. Marking is lenient, and overall the subject is easy so cutoff is generally high for an A+. Attendance is not that chill, you need to attend classes and have that 75% to be safe later on.
Course Summary: Introduction, Techniques, classification and characteristics of mathematical models, mathematical modeling through algebra, ordinary differential equations of first order. Mathematical modeling through systems of ordinary differential equations of first order, Prey- Predator model Mathematical modeling through systems of ordinary differential equations, modeling in medicine A model for diabetic mellitus. Modelling on population dynamics Mathematical modelling through difference equations. Some simple models. Modelling of economics and finance through difference equations, population dynamics and generation of models through difference equations, modeling in probability theory, examples. Optimization models: Mathematical modeling through linear programming. Mathematical modelling through graphs: elements of graphs, digraphs. Mathematical models for blood flow. Mathematical model for Peristaltic transport of two layered.
MAT 5285: Optimization Techniques
A course completely based on algebraic mathematics. This is a huge boost for your CV as it vouches your logic and problem solving abilities. Scoring is easy only if you listen in class. The professor has an excellent command over the subject.
Course Summary: Formulation, Linear programming-simplex method, Penalty coase methods, 2-phase method. Dual Simplex method. Duality theory .Transportation problem-Volgel’s approximation method, MODI method, Assignment problem-Hungarian method.Project Management – Networks, Project planning and control using PERT and CPM. Project crashing. Game theory – 2persons zero sum games, Minimax principle, games with mixed strategies. Dominance theory, solution using Linear programming.
MAT 5286: Stochastic Processes and Reliability
It deals with static and dynamic probabilities, the classification of different states, and the different processes and distributions associated with them. It also gives a brief overview about Reliability Theory and the Laws of Failure.
Course Summary: Static probabilities: Review and prerequisites generating functions, difference equations.Dynamic probability: definition and description with examples. Markov chains, transition probabilities, Chapmen Kolmogrov equations. Classification of states, chains of Markov process. Stability of Markov systems, limiting behaviour, random walk. Poisson Processes : assumptions and derivations, related distributions, birth and death processes. Queueing System, general concepts, Model M/M/1 and M/M/S, steady state behaviour, transient behaviour. Wiener processes and Gaussian processes. Differential equations of a wiener process, Kolmogrov equations, Ornstein – Unlenbeck Process. White note. Reliability Theory : Definition of Reliability, types of failure, Hazard rate, Laws of failure – normal, exponential & Weibull failure laws – System reliability – in series, in parallel series – parallel system, Paralled – series system & related problems.
MAT 5282: Applied Linear Algebra
One of the easier maths based electives. The course mostly deals with matrices, but a prior knowledge of maths is helpful. The previous professor was easy-going, and scoring is also quite easy.
Course Summary: Finite dimensional vector spaces, subspaces, linear independence, basis and dimension. Sum and intersection of subspaces. Algebra of linear transformations, range and null space of a linear transformation, Inner-product spaces, metric spaces and banach spaces, Gram Schmidt orthogonalization, linear operators and their adjoint, self adjoint, unitary and normal transformations, polar decomposition. Matrix algebra, simultaneous equations, Eigen values, characteristic vectors, CayleyHamilton theorem, minimal polynomial, Application of eigen values to solve simultaneous difference and differential equations. Quadratic forms and their classification, constrained optimization. Somecomputational methods of linear algebra.
MCA 4303: Introduction to Linux and Shell Scripting
A highly recommended elective. If you’re interested in working with different operation systems, you will not regret taking this. The professor is adept and it’s easy to score too. She’s stern in her ways, which basically means you can’t bunk too many classes. The environment is relaxed, and last minute studying can get one an average of 10-12 marks in sessionals. It is a scoring subject, gives one an increased knowledge of the Linux environment. Calls for knowledge of basic programming. An advantageous tool in anyone’s arsenal.
The difference between the Linux course offered by CSE department, and this one is that the CSE one majorly deals with theory with very little coding, and they use bash scripts. The MCA one is completely coding based, and involves little theory.
Course Summary: Introduction to UNIX/LINUX Operating System: OS concepts, Linux overview, key features of Linux, pros and cons of Linux. Processes: Processes and Files, I/O redirection and pipes, process creation, process attributes standard process file descriptors. File and Process commands. File systems: Files and directories, file naming and wildcards, file attributes, file permissions. Regular Expressions & filters: find, grep, cut, sort, grep patterns. AWK and SED. Shell and Shell Scripting: The need for shell, types of shells, interactive uses of shell, using shell for creating user commands, functions. Bash shell features: Statements, data structure, built-in commands, environment customization primitives. Linux Editors.
MCA 4304: Introduction to Data Analytics
In this course, the basics of Data Analytics is taught using various relevant case studies and hands-on exercises using tools such as WEKA and R. This is an elective only open to non-computer students. No prior coding experience is required for it. Taught by Ms Rohini of the MCA department, this elective is no child’s play. However if you’re regular to class it promises not to be tough. Most of the problems of Data Analytics are business oriented so it is relatable. One can also proceed to write a research paper on data analytics and get a recommendation as well as the required assistance from the professor. Helpful during placements if you wish to target specific data analytics firms, and definitely adds on to your profile.
Course Summary: Introduction – data science, need for analytics, steps in data analysis projects, Data- sources of data, data sets, data warehouses, data types, privacy and confidentiality, samples vs. population. Data summarization and visualization – tables and graphs. Data Preprocessing- cleaning, transformation, dimensionality reduction. Data Analysis and Visualization – descriptive, inferential statistics, uni-variate and multivariate analysis. Grouping – Cluster Analysis- distance measures, partitioning, hierarchical, density based methods. Market Basket Analysis, Association Analysis, Market Basket Analysis. ClassifiersBayesian, k-nearest neighbor, neural network, Support Vector Machine, Decision Trees. Prediction- Regression models, Evaluating Classification and Predictive performance, ensemble methods. Anomaly Detection. Forecasting models
MED 4304: Publishing Science
This OE has not been offered previously. It is taught by the Department of Media Technology.
Course Summary: Introduction, different methods of publishing, departments in a publishing house, duties and responsibilities of a publisher, job roles in publishing company. different medias of publishing, electronic media versus print media, case study, editing, significance, techniques and functions. editing tools and symbols, editing magazines and newspapers – page makeup, design and layout, editing online, editing radio and television programs. news publication, news values, writing, structure of a news report, types of news leads, writing leads, choosing news, attribution and verification, balance and fairness, news sources. content for media, writing for print – different styles reporting, editorials and features. writing for radio, television and audio-visual media (CD, DVD, Web), advertising, promotional writing – advertising copy writing, corporate writing – newsletters, online writing – website contents specialized reporting, science and technology reporting, environment, recent advances and future trends in publishing.
MME 4305: Introduction to Operations Research
Operations Research is a subject that will provide you with a useful skill in any walk of life you care to tread on in the future. With its roots in World War 2, Operations Research was originally created to provide for the most optimal bombing patterns, but as time went on, its other applications became apparent to the public and it became a household name among scientists and optimization enthusiasts alike.
Operations Research in Manipal is taught by a brilliant faculty member who has been teaching in MIT for 51 years, and it’s his enthusiasm that drives the subject and makes it as interesting as it is. Every hour spent in those classes will be worth it. The classes themselves are insanely well structured and organized, with a worksheet provided for every important lecture. If logic is something you find easy, Operations Research bodes well for you.
Course Summary: Introduction- Definition, Phases, Applications, Advantages and Limitations of Operations Research. Linear programming problems- Assumptions, Formulation of LPP, Graphical solutions, Simplex algorithm, Special cases. Concept of dual, Sensitivity analysis with
respect to objective function coefficients and R.H.S. values. Transportation problem- Formulation, Testing the optimality. Assignment problem – Solution algorithm for Assignment Problem. Travelling salesman – Solution algorithm for Travelling Salesman Problem, Application to job sequencing problem Game theory- Introduction to game theory, Two-person-zero sum games, Pure and Mixed Strategies, Solution methods. Network Analysis- General frame work, Introduction to elements of network, conventions adapted in drawing network, analyzing the network. Calculation of event and Activity times, Critical path, Determination of project duration, Project Crashing. Applications and Limitations of CPM.Project evaluation and review technique,
Simulation:-Monte- Carlo technique, Problems involving Waiting line situations and Selection of crew members etc.
MME 4306: Introduction to Quality Control
This subject talks about quality control and different ways you can undertake for successful control over quality in firms. Talks about risks involved with quality control as well and is quite useful when it comes to quality definition is any field. Hence an useful subject for all branches, but much information is not available regarding how easy it is to score, or how good the faculty is.
Course Summary: Definitions of the term quality, Patterns of variation, Causes of variation Frequency distribution, Measures of central tendency and dispersion, The Normal distribution curve, Inequality theorems, Shewhart’s bowl drawing experiments, Control charts for variables (X , R and s charts), Type I and Type II Errors, Process capability analysis, Process capability
indexes, Control charts for attributes (p ,np, c and u charts), Acceptance sampling by attributes, Single and Double sampling plans, Operating characteristic curve, Acceptable quality level, Lot tolerance percent defective, Average outgoing quality, Average total Inspection, Average
fraction inspected, Producers risk, Consumers risk, Acceptance sampling tables, Conventional and Statistical tolerancing, Precision, Accuracy and Reproducibility of method of measurements, Quality costs.
MTE 4303: Hydraulics and Pneumatics Systems
This OE has not been offered previously. It is taught by the Mechatronics department.
Course Summary: Pneumatic systems, structure and signal flow, compressors, actuators and control valves, single acting and double acting cylinders, manual pneumatics, single and multiple actuators, limit switches, proximity sensors, electro pneumatics and design of electro pneumatic circuits, direction control valves, relay control systems, timers, counters, pressure control valves, closed loop pneumatics and Flow control valves. Hydraulic systems, physical principles of oil hydraulics, hydraulic actuators, valves and accessories, hydraulic power pack, types of hydraulic pumps, accumulator, Filters, hydraulic circuits, regenerative, meter in, meter out, bleed off, sequencing, pressure reducing circuits, electro hydraulic circuits, proportional hydraulics and
PHY 4303: Radiation Physics
This course deals with the different sources of radiation, and their detection through various instruments. It also deals with the study and measurement of their interactions with each other.
Course Summary: Radiation Sources: Fast electron sources-Heavy charged particle sources-Sources of electromagnetic radiation-Neutron sources. Radiation Interaction: Photoelectric and Compton process -pair production. Interaction of heavy charged particles-stopping power Energy loss characteristics- Bragg curve-Particle range-range straggling- stopping time-energy loss in thin absorbers-Interaction of fast electrons-absorption of beta particles-interaction of gamma rays gamma ray attenuation-Interaction of neutrons-neutron cross section neutron induced nuclear reactions. Radiation Detectors and Instrumentation: Semiconductors diodes-JFET-MOSFET-Integrated Circuits-OPAMP and their characteristics-Differential AmplifierOperational amplifier systems-Pulse Amplifiers. Principles of radiation detection and measurements-Gas filled detectors-Ionisation chambers Proportional counters-GM counters-Scintillation detectors Semiconductor detectors-Thermo luminescent Dosimeters-Radiation spectroscopy with scintillators-Gamma spectroscopy-Multichannel pulse analyzer-Slow neutron detection methods-Reactor instrumentation. Industrial uses of nuclear measurements: Radiation detection in industrial environments-Measuring systems for industrial problems-Determination of physical material characteristics by nuclear measurements-Level height determination-Density measurements Quantity measurements-Thickness measurement-coating thickness measurement.
Compiled by Lasya Lakshmi, Prattusha Mukhopadhyay, Agnihotra Bhattacharya, Nethraa Kannan.
Updated by Ankita Ghosh and Ankitha Giridhar
Featured Image by Chirag Bansal