Engineering Graduates will be able to:
PO1: Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
PO2: Problem Analysis: Identify, formulates, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO3: Design / development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
PO4: Conduct investigations of complex problems: Use research – based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO5: Modern tool usage: Create, select and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
A Graduate of the Computer Engineering Program will be able to
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First-Year Engineering |
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Course Code and Name: 110005 - Programming and Problem Solving |
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110005.1 |
Inculcate and apply various skills in problem solving |
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110005.2 |
Choose most appropriate programming constructs and features to solve the problem in diversified domains |
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110005.3 |
Understand and apply basics, features and future of python programming to solve real-world problem |
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110005.4 |
Exhibit the programming skills for the problem that require the writing of well-documented programs including use of logical constructs of language, Python |
| 110005.5 |
Apply concept of Object Oriented Programming using Python to solve complex problems |
| 110005.6 | Demonstrate significant experience with the Python program development environment |
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Second Year Engineering |
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Course code and Name: 210241 - Discrete Mathematics |
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210241.1 |
Formulate problems precisely, solve the problems, apply formal proof techniques, and explain the reasoning clearly. |
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210241.2 |
Apply appropriate mathematical concepts and skills to solve problems in both familiar and unfamiliar situations including those in real-life contexts. |
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210241.3 |
Design and analyze real world engineering problems by applying set theory, propositional logic and to construct proofs using mathematical induction |
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210241.4 |
Specify, manipulate and apply equivalence relations; construct and use functions and apply these concepts to solve new problems. |
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210241.5 |
Calculate numbers of possible outcomes using permutations and combinations; to model and analyze computational processes using combinatorics |
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210241.6 |
Model and solve computing problems using tree and graph and solve problems using appropriate algorithms. |
| 210241.7 | Analyze the properties of binary operations, apply abstract algebra in coding theory and evaluate the algebraic structures. |
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Course code and Name: 210242 - Fundamentals of Data Structure |
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210242.1 |
To analyze a detailed understanding of behaviour of data structures like array, linked list, stack, and queue by developing programs. |
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210242.2 |
To analyze appropriate algorithmic strategy for better efficiency. |
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210242.3 |
To design data searching and sorting techniques. |
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210242.4 |
To discriminate the usage of various structures in approaching the problem solution. |
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210242.5 |
To analyze and use effective and efficient data structures in solving various Computer Engineering domain problems. |
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210242.6 |
To design the algorithms to solve the programming problems. |
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Course code and Name: 210243 - Object Oriented Programming |
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210243.1 |
Apply constructs- sequence, selection and iteration; classes and objects, inheritance, use of predefined classes from libraries while developing software |
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210243.2 |
Design object-oriented solutions for small systems involving multiple objects. |
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210243.3 |
Use virtual and pure virtual functions and complex programming situations. |
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210243.4 |
Apply object-oriented software principles in problem solving. |
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210243.5 |
Analyze the strengths of object-oriented programming. |
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210243.6 |
Develop the application using object oriented programming language (C++). |
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Course Code and Name: 210244- Compute Graphics |
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210244.1 |
Identify the basic terminologies of Computer Graphics and interpret the mathematical foundation of the concepts of computer graphics. |
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210244.2 |
Apply mathematics to develop Computer programs for elementary graphic operations. |
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210244.3 |
Illustrate the concepts of windowing and clipping and apply various algorithms to fill and clip polygons. |
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210244.4 |
Understand and apply the core concepts of computer graphics, including transformation in two and three dimensions, viewing and projection |
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210244.5 |
Understand the concepts of color models, lighting, shading models and hidden surface elimination. |
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210244.6 |
Create effective programs using concepts of curves, fractals, animation and gaming |
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Course Code and Name: 210245- Digital Electronics and Logic Design 210248- Digital Electronics Lab |
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210245.1 |
Simplify Boolean Expressions using K Map. |
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210245.2 |
Design and implement combinational circuits |
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210245.3 |
Design and implement sequential circuits. |
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210245.4 |
Develop simple real-world applications using ASM and PLD |
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210245.5 |
Choose appropriate logic families IC packages as per the given design specifications |
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210245.6 |
Explain organization and architecture of computer system |
| 210248.1 | Design and implement hardware circuits for combinational and sequential circuits to test performance. |
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Course Code and Name: 210246 - Data Structures Laboratory |
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210246.1 |
Implement/Apply effective and efficient data structures such as array, queue, stack and linked list in solving various Computer Engineering domain problems. |
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210246.2 |
Apply various data searching and sorting methods & can determine time complexity. |
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Course Code and Name: 210247 - OOP and Computer Graphics Laboratory |
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210247.1 |
Understand and apply the concepts like inheritance, polymorphism, exception handling and generic structures for implementing reusable programming codes |
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210247.2 |
Analyze the concept of file and apply it while storing and retrieving the data from secondary storage |
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210247.3 |
Analyze and apply computer graphics algorithms for line-circle drawing, scan conversion and filling with the help of object oriented programming concepts. |
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210247.4 |
Understand the concept of windowing and clipping and apply various algorithms to fill and clip polygons. |
| 210247.5 | Apply logic to implement, curves, fractals, animation and gaming programs. |
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Course Code and Name: 210249 - Business Communication Skills |
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210249.1 |
Express effectively through verbal/oral communication and improve listening skills |
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210249.2 |
Write precise briefs or reports and technical documents. |
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210249.3 |
Prepare for group discussion / meetings / interviews and presentations. |
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210249.4 |
Explore goal/target setting, self-motivation and practicing creative thinking |
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210249.5 |
Operate effectively in multi-disciplinary and heterogeneous teams through the knowledge of team work, Interpersonal relationships, conflict management and leadership qualities |
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Course code and Name: 210250 - Humanity and Social Science |
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210250.1 |
Aware of various issues concerning humans and society |
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210250.2 |
Aware of their responsibilities towards society |
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210250.3 |
Sensitized about broader issues regarding the social, cultural, economic and human aspects involved in social changes |
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210250.4 |
Able to understand the nature of the individual and the relationship between the self and the community |
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210250.5 |
Able to understand major ideas, values, beliefs and experiences that have shaped human history and culture |
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Course code and Name: 210251 - Audit Course 3-1 Green Construction and Design |
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210251.1 |
To understand the importance of environment friendly society |
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210251.2 |
To apply primary measures to reduce carbon emissions from their surroundings. |
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210251.3 |
To learn the role of IT solutions in the design of green buildings. |
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210251.4 |
To understand the use of software systems to complete statutory compliances involved in the design of a new home or office building through green construction. |
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Course code and Name: 207003- Engineering Mathematics III |
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207003.1 |
Solve Linear differential equations, essential in modelling and design of computer-based |
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207003.2 |
Apply concept of Fourier transform and Z-transform and its applications to continuous and |
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207003.3 |
Apply Statistical methods like correlation and regression analysis and probability theory for |
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207003.4 |
Solve Algebraic and Transcendental equations and System of linear equations using |
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207003.5 |
Obtain Interpolating polynomials, numerical differentiation and integration, numerical |
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Course code and Name: 210252 - Data Structures and Algorithms |
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210252.1 |
Identify and articulate the complexity goals and benefits of a good hashing scheme for real- |
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210252.2 |
Apply non-linear data structures for solving problems of various domain. |
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210252.3 |
Design and specify the operations of a nonlinear-based abstract data type and implement them in a high-level programming language. |
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210252.4 |
Analyze the algorithmic solutions for resource requirements and optimization |
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210252.5 |
Use efficient indexing methods and multiway search techniques to store and maintain data. |
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210252.6 |
Use appropriate modern tools to understand and analyze the functionalities confined to the |
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Course code and Name: 210253 – Software Engineering |
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210253.1 |
Analyze software requirements and formulate design solution for a software. |
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210253.2 |
Design applicable solutions in one or more application domains using software engineering |
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210253.3 |
Apply new software models, techniques and technologies to bring out innovative and |
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210253.4 |
Model and design User interface and component-level. |
| 210253.5 | Identify and handle risk management and software configuration management. |
| 210253.6 | Utilize knowledge of software testing approaches, approaches to verification and validation. |
| 210253.7 | Construct software of high quality – software that is reliable, and that is reasonably easy to understand, modify and maintain efficient, reliable, robust and cost-effective software solutions. |
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Course code and Name: 210254 – Microprocessor |
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210254.1 |
Exhibit skill of assembly language programming for the application. |
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210254.2 |
Classify Processor architectures. |
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210254.3 |
Illustrate advanced features of 80386 Microprocessor. |
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210254.4 |
Compare and contrast different processor modes. |
| 210254.5 |
Use interrupts mechanism in applications |
| 210254.6 |
Differentiate between Microprocessors and Microcontrollers. |
| 210254.7 |
Identify and analyze the tools and techniques used to design, implement, and debug |
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Course code and Name:210255 –Principles of Programming Languages |
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| 210255.1 |
Make use of basic principles of programming languages. |
| 210255.2 |
Develop a program with Data representation and Computations. |
| 210255.3 |
Develop programs using Object Oriented Programming language: Java. |
| 210255.4 |
Develop applications using inheritance, encapsulation, and polymorphism. |
| 210255.5 |
Demonstrate Multithreading for robust application development. |
| 210255.6 |
Develop a simple program using basic concepts of Functional and Logical programming |
| Course code and Name:210256–Data Structures and Algorithms Laboratory | |
| 210256.1 |
Understand the ADT/libraries, hash tables and dictionary to design algorithms for a |
| 210256.2 |
Choose most appropriate data structures and apply algorithms for graphical solutions of |
| 210256.3 |
Apply and analyze non-linear data structures to solve real-world complex problems. |
| 210256.4 |
Apply and analyze algorithm design techniques for indexing, sorting, multi-way searching, |
| 210256.5 |
Analyze the efficiency of a most appropriate data structure for creating efficient |
| Course code and Name:210257- Microprocessor Lab |
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| 210257.1 | Understand and apply various addressing modes and instruction sets to implement assembly language programs |
| 210257.2 | Apply logic to implement code conversion |
| 210257.3 | Analyze and apply logic to demonstrate processor mode of operation |
| Course code and Name:210258- Project Based Learning II | |
| 210258.1 | Identify the real-life problem from a societal need point of view |
| 210258.2 | Choose and compare alternative approaches to select most feasible one |
| 210258.3 | Analyze and synthesize the identified problem from a technological perspective |
| 210258.4 | Design a reliable and scalable solution to meet challenges |
| 210258.5 | Evaluate the solution based on the criteria specified |
| 210258.6 | Inculcate long-life learning attitude toward the societal problems |
| Course code and Name:210259- Code of Conduct |
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| 210259.1 | Understand the basic perception of profession, professional ethics, various moral and social issues, industrial standards, code of ethics and role of professional ethics in engineering field. |
| 210259.2 | Aware of professional rights and responsibilities of an engineer, responsibilities of an engineer for safety and risk-benefit analysis. |
| 210259.3 | Understand the impact of the professional Engineering solutions in societal and Environmental contexts, and demonstrate the knowledge of, and need for sustainable development. |
| 210259.4 | Acquire knowledge about various roles of engineers in variety of global issues and able to apply ethical principles to resolve situations that arise in their professional lives. |
| Third Year Engineering | |
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Course Code and Name: 310241: Database Management Systems |
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310241.1 |
Analyze and design Database Management System using ER model |
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310241.2 |
Implement database queries using database languages |
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310241.3 |
Normalize the database design using normal forms |
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310241.4 |
Apply Transaction Management concepts in real-time situations |
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310241.5 |
Use NoSQL databases for processing unstructured data |
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310241.6 |
Differentiate between Complex Data Types and analyze the use of appropriate data type |
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Course Code and Name: 310242: Theory of Computation |
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310242 .1 |
Understand formal language, translation logic, essentials of translation, alphabets, and language representation and apply it to design Finite Automata and its variants |
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310242 .2 |
Construct regular expression to present regular language and understand pumping lemma for RE |
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310242 .3 |
Design Context-Free Grammars and learn to simplify the grammar |
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310242 .4 |
Construct Pushdown Automaton model for the Context Free Language |
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310242 .5 |
Devise Turing Machine for the different requirements outlined by theoretical computer science |
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310242 .6 |
Analyze different classes of problems, and study concepts of NP-completeness |
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Course Code and Name: 310243- Systems Programming and Operating System |
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310243.1 |
Classify system software and application software. |
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310243.2 |
Analyze and design system software. |
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310243.3 |
Illustrate and synthesize various compilation tools like LEX, YACC. |
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310243.4 |
Recognize various roles and responsibilities of OS. |
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310243.5 |
Demonstrate and apply knowledge for the development of OS functionalities |
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310243.6 |
Investigate and design complex software tools through effective teamwork. |
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Course Code and Name: 310244- Computer Networks and Security |
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310244.1 |
Summarize fundamental concepts of Computer Networks, architectures, protocols, and technologies |
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310244.2 |
Illustrate the working and functions of the data link layer |
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310244.3 |
Analyze the working of different routing protocols and mechanisms |
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310244.4 |
Implement client-server applications using sockets |
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310244.5 |
Illustrate role of application layer with its protocols, client-server architectures |
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310244.6 |
Comprehend the basics of Network Security |
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Course Code and Name: 310245A- Elective I- Internet of Things and Embedded Systems |
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310245A.1 |
Understand the fundamentals and need of Embedded Systems for the Internet of Things |
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310245A.2 |
Apply IoT enabling technologies for developing IoT systems |
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310245A.3 |
Apply design methodology for designing and implementing IoT applications |
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310245A.4 |
Analyze IoT protocols for making IoT devices communication |
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310245A.5 |
Design cloud based IoT systems |
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310245A.6 |
Design and Develop secured IoT applications |
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Course Code and Name: 310246- Database Management Systems Laboratory |
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310246.1 |
Design E-R Model for given requirements and convert the same into database tables |
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310246.2 |
Design schema inappropriate normal form considering actual requirements |
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310246.3 |
Implement SQL queries for given requirements, using different SQL concepts |
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310246.4 |
Implement PL/SQL Code block for given requirements |
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310246.5 |
Implement NoSQL queries using MongoDB |
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310246.6 |
Design and develop applications considering actual requirements and using database concepts |
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Course Code and Name: 310247-Computer Networks and Security Laboratory |
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310247.1 |
Analyze the requirements of network types, topology and transmission media |
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310247.2 |
Demonstrate error control, flow control techniques and protocols and analyze them |
| 310247.3 | Demonstrate the subnet formation with IP allocation mechanism and apply various routing algorithms |
| 310247.4 | Develop Client-Server architectures and prototypes |
| 310247.5 | Implement web applications and services using application layer protocols |
| 310247.6 | Use network security services and mechanisms |
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Course Code and Name: 310248-Laboratory Practice I |
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| 310248.1 | Implement language translators |
| 310248.2 | Use tools like LEX and YACC |
| 310248.3 | Implement internals and functionalities of Operating System |
| 310248.4 | Design IoT and Embedded Systems based application |
| 310248.5 | Develop smart applications using IoT |
| 310248.6 | Develop IoT applications based on cloud environment |
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Course Code and Name: 310249 – Seminar and Technical Communication |
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310249.1 |
Identify and Analyze recent topics of any domain |
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310249.2 |
Enhance technical writing skills. |
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310249.3 |
Identify an engineering problem, analyze it and propose a work plan to solve it. |
| 310249.4 | Communicate with professional technical presentation skills and Apply modern documentation tools to write the report |
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Course Code and Name: 310250 - Audit Course 5 |
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310250.1 |
Understand and classify various cybercrimes |
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310250.2 |
Understand how criminals plan for the cybercrimes |
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310250.3 |
Apply tools and methods used in cybercrime |
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310250.4 |
Analyze the examples of few case studies of cybercrimes |
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Course Code and Name: 310251- Data Science and Big Data Analytics |
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310251 .1 |
Analyze needs and challenges of Data Science and Big Data analytics. |
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310251 .2 |
Apply statistics to Big Data |
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310251 .3 |
Apply the Life Cycle of Big Data to Real World Problems. |
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310251 .4 |
Implement Big Data analytics with Python Programming. |
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310251 .5 |
Implement Data Visualization using Data Visualization tools in Python Programming. |
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310251 .6 |
Design and implement Big Databases using Hadoop Ecosystem. |
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Course Code and Name: 310252-Web Technology |
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310252.1 |
Implement and analyze behavior of web pages using HTML and CSS |
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310252.2 |
Apply the client side technologies for web development |
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310252.3 |
Analyze the concepts of Servlet and JSP |
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310252.4 |
Analyze the Web services and frameworks |
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310252.5 |
Apply the server side technologies for web development |
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310252.6 |
Create the effective web applications for business functionalities using latest web development platform |
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Course Code and Name: 310253 - Artificial Intelligence |
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310253.1 |
Identify and apply suitable Intelligent agents for various AI applications |
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310253.2 |
Build smart system using different informed search / uninformed search or heuristic approaches |
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310253.3 |
Identify competitive environment and apply different strategies to solve adversarial search problems |
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310253.4 |
Identify knowledge associated and represent it by ontological engineering to plan a strategy to solve given problem |
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310253.5 |
Implement ideas underlying modern logical inference systems |
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310253.6 |
Represent complex problems with expressive yet carefully constrained language of representation |
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Course Code and Name: 310254C: Elective II- Cloud Computing |
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310254.1 |
Understand the different Cloud Computing environment |
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310254.2 |
Use appropriate data storage technique on Cloud, based on Cloud application |
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310254.3 |
Analyze Virtualization technology and install Virtualization software |
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310254.4 |
Develop and deploy applications on Cloud |
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310254.5 |
Apply security in cloud applications |
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310254.6 |
Use advanced techniques in Cloud Computing |
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Course Code and Name: 310255 - Internship |
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310255 .1 |
To demonstrate professional competence through industry internship. |
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310255 .2 |
To apply knowledge gained through internships to complete academic activities in a professional manner |
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310255 .3 |
To choose appropriate technology and tools to solve a given problem. |
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310255 .4 |
To demonstrate abilities of a responsible professional and use ethical practices in day to day life. |
|
310255 .5 |
Creating network and social circle, and developing relationships with industry people |
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310255 .6 |
To analyze various career opportunities and decide on carrier goals. |
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Course code and Name: 310256- Data Science and Big Data Analytics Laboratory |
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310256.1 |
Apply principles of Data Science for the analysis of real time problems |
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310256.2 |
Implement data representation using statistical methods |
| 310256.3 | Implement and evaluate data analytics algorithms |
| 310256.4 | Perform text preprocessing |
| 310256.5 | Implement data visualization techniques |
| 310256.6 | Use cutting edge tools and technologies to analyze Big Data |
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Course Code and Name: 310257 - Web Technology Laboratory |
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310257.1 |
Understand the importance of website planning and website design issues |
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310257.2 |
Apply the client side and server side technologies for web application development |
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310257.3 |
Analyze the web technology languages, frameworks and services |
| 310257.4 | Create three tier web based applications |
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Course Code and Name: 310258: Laboratory Practice II |
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| 310258.1 | Design a system using different informed search / uninformed search or heuristic approaches |
| 310258.2 | Apply basic principles of AI in solutions that require problem solving, inference, perception, knowledge representation, and learning |
| 310258.3 | Design and develop an interactive AI application |
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Course Code and Name: 310259: Leadership and personality development (Audit Course 6) |
|
| 310259.1 |
Express effectively through communication and improve listening skills |
| 310259.2 |
Develop effective team leadership abilities. |
| 310259.3 |
Explore self-motivation and practice creative/new age thinking. |
| 310259.4 |
Operate effectively in heterogeneous teams through the knowledge of teamwork, people skills, and leadership qualities. |
|
Final Year Engineering |
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Course code and Name: 410241 : Design and Analysis of Algorithms |
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410241.1 |
Formulate the problem |
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410241.2 |
Analyze the asymptotic performance of algorithms |
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410241.3 |
Decide and apply algorithmic strategies to solve given problem |
|
410241.4 |
Find optimal solution by applying various methods |
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410241.5 |
Analyze and Apply Scheduling and Sorting Algorithms |
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410441.6 |
Solve problems for multi-core or distributed or concurrent environments |
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Course code and Name: 410242 :Machine Learning |
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410242.1 |
Identify the needs and challenges of machine learning for real time applications |
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410242.2 |
Apply various data pre-processing techniques to simplify and speed up machine learning algorithms. |
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410242.3 |
Select and apply appropriately supervised machine learning algorithms for real time applications |
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410242.4 |
Implement variants of multi-class classifier and measure its performance. |
|
410242.5 |
Compare and contrast different clustering algorithms. |
|
410242.6 |
Design a neural network for solving engineering problems. |
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Course code and Name: 410243: Blockchain Technology |
|
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410243.1 |
Interpret the fundamentals and basic concepts in Blockchain |
|
410243.2 |
Compare the working of different blockchain platforms |
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410243.3 |
Use Crypto wallet for cryptocurrency based transactions |
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410243.4 |
Analyze the importance of blockchain in finding the solution to the real-world problems |
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410243.5 |
Illustrate the Ethereum public block chain platform |
|
410243.6 |
Identify relative application where block chain technology can be effectively used and implemented. |
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Course code and Name: Elective IV 410244(C): Cyber Security and Digital Forensics |
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410244(C).1 |
Analyze threats in order to protect or defend it in cyberspace from cyber-attacks |
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410244(C).2 |
Build appropriate security solutions against cyber-attacks. |
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410244(C).3 |
Underline the need of digital forensic and role of digital evidences |
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410244(C).4 |
Explain rules and types of evidence collection |
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410244(C).5 |
Analyze, validate and process crime scenes |
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410244(C).6 |
Identify the methods to generate legal evidence and supporting investigation reports |
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Course code and Name: Elective V 410245(A): Information Retrieval |
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410245(A).1 |
Implement the concept of Information Retrieval |
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410245B(A).2 |
Generate quality information out of retrieved information |
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410245B(A).3 |
Apply techniques such as classification, clustering, and filtering over multimedia to analyze the information |
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410245B(A).4 |
Evaluate and analyze retrieved information |
|
410245B(A).5 |
Understand the data in various Application and Extensions of information retrieval |
|
410245B(A).6 |
Understand Parallel information retrieving and web structure |
|
Course code and Name: Elective V 410245(D): Software Testing and Quality Assurance |
|
| 410245(D).1 |
Describe fundamental concepts in software testing such as manual testing, automation testing and software quality assurance |
| 410245(D).2 |
Design and Develop project test plan, design test cases, test data, and conduct test operations. |
| 410245(D).3 |
Apply recent automation tool for various software testing for testing software. |
| 410245(D).4 |
Apply different approaches of quality management, assurance, and quality standard to software system |
| 410245(D).5 |
Apply and analyze effectiveness Software Quality Tools |
| 410245(D).6 |
Apply tools necessary for efficient testing framework. |
|
Course code and Name:410246:Laboratory Practice III |
|
|
410246.1 |
Apply preprocessing techniques on datasets. |
| 410246.2 | Implement and evaluate linear regression and random forest regression models. |
| 410246.3 | Apply and evaluate classification and clustering techniques. |
| 410246.4 | .5Analyze performance of an algorithm. |
| 410246.5 | Implement an algorithm that follows one of the following algorithm design strategies: divide and conquer, greedy, dynamic programming, backtracking, branch and bound. |
| 410246.6 | Interpret the basic concepts in Blockchain technology and its applications |
|
Course code and Name: 410247:Laboratory Practice IV |
|
|
410247.1 |
Identify various vulnerabilities and demonstrate using various tools. |
|
410247.2 |
Apply information retrieval tools for natural language processing |
| 410247.3 |
Apply software testing tools to perform automated testing |
|
Course code and Name: 410248:Project Work Stage I |
|
|
410248.1 |
Solve real life problems by applying knowledge. |
|
410248.2 |
Analyze alternative approaches, apply and use most appropriate one for feasible solution |
|
410248.3 |
Write precise reports and technical documents in a nutshell. |
|
410248.4 |
Participate effectively in multi-disciplinary and heterogeneous teams exhibiting team work |
| 410248.5 |
Inter-personal relationships, conflict management and leadership quality. |
|
Course code and Name: 410259 Audit Course 7 – I: MOOC-learn New Skill |
|
|
410249(I).1 |
To acquire additional knowledge and skill. |
|
Course code and Name: 410250 - High Performance Computing |
|
|
410250.1 |
Understand various Parallel Paradigm |
|
410250.2 |
Design and Develop an efficient parallel algorithm to solve given problem |
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410250.3 |
Illustrate data communication operations on various parallel architecture |
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410250.4 |
Analyze and measure performance of modern parallel computing systems |
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410250.5 |
Apply CUDA architecture for parallel programming |
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410250.6 |
Analyze the performance of HPC applications |
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Course code and Name: 410251 - Deep Learning |
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410251.1 |
Understand the basics of Deep Learning and apply the tools to implement deep learning applications |
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410251.2 |
Evaluate the performance of deep learning models (e.g., with respect to the bias-variance tradeoff, overfitting and underfitting, estimation of test error). |
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410251.3 |
To apply the technique of Convolution (CNN) and Recurrent Neural Network (RNN) forimplementing Deep Learning models |
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410251.4 |
To implement and apply deep generative models. |
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410251.5 |
Construct and apply on-policy reinforcement learning algorithms |
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410251.6 |
To Understand Reinforcement Learning Process |
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Course code and Name: 410254- Cloud Computing |
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410254.1 |
Describe basics concepts of cloud computing |
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410254.2 |
Describe and Demonstrate data storage and security on cloud file systems. |
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410254.3 |
Explain and apply virtualization and its types |
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410254.4 |
Design and develop solutions to real world problems by Amazon web services |
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410254.5 |
Describe and learn fundamental concepts of IoT and Ubiquitous Computing |
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410254.6 |
Describe the future trends of cloud computing |
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Course code and Name: 410254 - LP III |
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410254.1 |
Know how to diagnose and apply corrections to some problems with the generalized linear model found in real data |
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410254.2 |
To Implement and provide interpretable predictions by classification method (Decision Tree) |
| 410254.3 | Build appropriate security solutions against cyber attacks |
| 410254.4 | Design and implement data encryption standards and cyber operation techniques |
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Course code and Name: 410255 - LP IV |
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410255.1 |
Design and development of certain scientific and commercial application using computational neural network models, fuzzy models, fuzzy clustering applications and genetic algorithms in specified applications. |
| 410255.2 | Configure and Implement IaaS,Paas, and SaaS in cloud solutions |
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Course code and Name: 410256- Project II |
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410256.1 |
Apply modern software tools to implement the software solution of the problem |
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410256.2 |
Apply modern software tools to design test cases and perform testing of the implemented software solution and deploy the software solution after successful testing |
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410256.3 |
Communicate effectively by participating in various competitions, publishing and presenting project work through conference / journal paper |