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B. Tech. in Computer Science & Engineering

Overview

The B. Tech. degree in Computer Science and Engineering at the Alliance College of Engineering and Design, apart from offering common core subjects, extends to its graduates the flexibility to select from a wide range of elective subjects, which enables them to gain domain knowledge and practice-oriented learning in the key aspects of computer science and engineering—as well as newer academic insights into the salient advancements and emerging technologies.

Electives thus offered aim at equipping graduates with the skills and expertise required to design and develop computer software that is applied to diverse system-based environments; computing solutions for optimizing and enhancing the performance of systems; and computers to solve challenges in areas such as robotics, computer vision, digital forensics, image processing and pattern recognition techniques, machine learning, and protocol verification techniques.

Course Duration

B. Tech. (Regular): Four years (Full-time)

B. Tech. (Lateral): Three years (Full-time)

Programs Offered

  1. Cloud Computing & Virtualization
  2. Cyber Security
  3. Artificial Intelligence & Machine Learning
  4. Internet of Things
  5. Data Analytics
Commence of the course

January 2020 & July 2020


Course Duration

4 Years


Mode of Study

Full Time Course

Eligibility


B. Tech. (Regular)

Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry / Biotechnology / Biology / Technical Vocational subject

Obtained at least 45% marks (40% in case of candidate belonging to reserved category) in the above subjects taken together.

Score in JEE (Main); JEE (Advanced); Karnataka CET; COMED-K; AUSAT (Alliance University Scholastic Aptitude Test); or any other State-level engineering entrance examination.


B. Tech. (Lateral)

Passed Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category belonging to reserved category) in ANY branch of Engineering and Technology.

Passed B. Sc. Degree from a recognized University as defined by UGC, with at least 45% marks (40% marks in case of candidates belonging to reserved category) and passed 10+2 examination with Mathematics as a subject.

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Provided that the students belonging to B. Sc. Stream, shall clear the subjects Engineering Graphics/Engineering Drawing and Engineering Mechanics of the First Year Engineering Programme along with the Second year subjects.

Provided that the students belonging to B. Sc. Stream shall be considered only after filling the supernumerary seats in this category with students belonging to the Diploma stream.

Passed D. Voc. Stream in the same or allied sector.

In the above cases, suitable bridge Courses, if required such as in Mathematics or basic Engineering foundation courses may be suitably designed and implemented.


Course Structure - Programs Offered

Semester Subject Title
IV Introduction to Virtualization and Cloud Computing
Cloud Computing Architecture and Deployment Models
V Internet and Cloud Computing
Network Storage Technologies
VI Cloud Architecture and Computing
VII Aglie Cloud Automation
Semester Subject Title
IV Fundamentals of cyber security
Cyber security algorithms
V Cyber Security Risk Management and Mitigation
Fundamentals of Blockchain and Cryprocurrencies
VI Mobile and Network based Ethical Hacking
VII Cyber Security Standards Policies and Practices
Semester Subject Title
IV Machine Learning with Python
Topics in Artificial intelligence
V Algorithm for Intelligent Systems and Robotics
Advanced Machine Learning
VI Cognitive Analytics
VII High Performance Computing
Semester Subject Title
IV Introduction to IOT
IoT Sensor Technologies
V IoT Architecture and its Protocols
IoT cloud and data analytics
VI Industrial IoT 4.0
VII Internet of Medical Things
Semester Subject Title
IV Introduction to Data Analytics
Introduction to Data Modeling and Processing
V Bigdata Analytics
Data Science with Python
VI Data Warehousing and Business Intelligence
VII Data Visualization Techniques

Course Structure

Electives

  • Minor Elective I (Intellectual Property Rights)
  • Minor Elective II (Entrepreneurship Management)
  • Principles of Data communication
  • Net Technology
  • Object Oriented Modeling and Design
  • Computer organization and architecture
  • Introduction to Micro processors
  • Distributed System
  • Java Programming
  • Theory of Computation
  • Virtual Reality
  • Artificial Intelligence
  • Data Ware housing and Data Mining
  • Computer Systems Performance Analysis
  • Multi Agent System
  • Scripting Language ( Pearl & Python)
  • Mobile Computing
  • Image Processing
  • Wireless Sensor Network
  • Advanced Computer Architecture
  • Open Elective I (Data structures with C)
  • Open Elective II (Object Oriented Programming with C++)
  • Open Elective III (Computational Complexity)
  • Open Elective IV (Compiler Design)
  • Open Elective V (Data Science & Analytics)
  • Career Development Program I (Communication and Soft Skills)
  • Career Development Program II (Aptitude and Quantitative Skills)
  • Career Development Program III (Critical Reasoning and Logical Skills)
  • Career Development Program IV (Problem Solving Skills)
  • Career Development Program V (Technical Capstone)

Note: An elective subject is offered in the B. Tech. in Computer Science and Engineering course only if a minimum number of students enroll in it.

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