Department of Computer Science & Engineering

DEPARTMENT OF CSE

Computer Science and Engineering is one of the engineering disciplines that can be integrated with any other branch of engineering. The power of computing is to harness across the other disciplines with the help of technology, logic and innovation. Presently, automation, artificial intelligence, machine learning, data science, big data analytics, etc. play vital role in decision making within any organisation.
     Computer Science Engineers can pursue career either with the software/ IT sector as well as with the hardware sector. Computer Science Engineers get employed as Software Developers, Hardware Engineers, System Designer, System Analyst, Networking Engineers, Database Administrator, Application Analyst, Applications Developer, CAD technician, Cyber Security analyst, Data analyst, Game designer. Some are also being involved in software testing which is currently having good scope in the IT industry. 
Personal Attributes
Creativity, out of box thinking, logic and imaginations are key components to be a successful Computer Engineer. If you feel that you have a passion for imaginative thinking with problem solving skills, you can pursue a degree in Computer Science and Engineering.
Major Areas in Computer Science and Engineering
Computer Forensics, Information Security, Networking, Information Technology, Web and Application development, Machine Learning, Digital Marketing, Computer Programming, Database Administration, Cyber Security, Artificial Intelligence, Cloud Computing, etc.
 

ACADEMICS – CSE (UG)

The Department of CSE offers B.E. (Computer Science and Engineering) and M.E (Computer Science and Engineering) Programmes. The total sanctioned student strength is 120 for UG Programme and 18 for PG programme. The Department has a core team of qualified and experienced faculty members with industrial and research background. The department is equipped with full-fledged laboratories and has audio-visual facilities with LCD for effective teaching and learning.

The department has very active ISTE Student's Chapters, Computer Society of India, Code Club, FOSS Club, Spoken Tutorial Project and MATLAB Forum. Student members of these clubs and chapters actively participate in the various activities organised by the ISTE, CSI, Code and FOSS clubs, open coding contests like TCS Code Vita, Smart India Hackathon, and MATLAB training and project contests. Students are given wide opportunities for necessary skill development apart from regular academics to make them competitive and industry ready. The Department is regularly organising Value-added training programmes to the students, arrange internship, organise Industry Visits, engage students in Google Classrooms and Moodle platform for 24 x 7 learning, provides support for completing mini projects. The department has a Campus wide license for MATLAB. Regular workshops on specific topics, Faculty Development Programmes on emerging areas and Seminars, Workshops and Conferences are also organised for the benefit of staff and students.

Starting with vision and mission of the Institute, the Department Advisory Committee (DAC) developed vision and mission statements of the department.

Vision of the Department

The vision of CSE Department is to become center of excellence in teaching and research, produce industry ready computer professionals to meet the challenges of the 21st century, contribute to the society through excellence in scientific and knowledge-based education utilizing the potential of computer science and engineering with a deep passion for wisdom, culture and values.

Mission of the Department

  • To enrich the technical knowledge of the students in diversified areas of Computer   Science   and Engineering by adopting student-centric & activity based learning and outcome-based education with state of art equipment.
  • To empower the students with the required skills to solve the complex   technological problems of modern society and also provide them with a framework for promoting collaborative and multidisciplinary activities.
  • To produce high-quality Computer Science and Engineering professionals adaptable to the changing technological environment with all-round leadership qualities, team spirit and entrepreneur skill set.
  • To develop human potential to its fullest extent so that intellectually capable and optimistic leaders can emerge in a range of professions.

Starting with vision and mission of the department, Department Advisory Committee (DAC) developed the Programme Educational Objectives (PEOs). With PEOs taken as the input the programme specific outcomes are determined. This Outcome Based Education (OBE) environment enabled the Institution to adopt to the requirements of the various stakeholders such as Students, Parents, Alumni, Industry and Faculty. In the present Outcome Based Education (OBE) environment, the formal engineering programmes in India as per the NBA requirement have outcomes to be achieved at four levels. At the highest level, we have programme educational objectives. At the next level is programme outcomes and programmes specific outcomes. At the next level, we have course outcomes.

PEOs, PSOs and POs

CURRICULUM & SYLLABUS for B.E (Computer Science and Engineering)

Anna University has implemented choice-based credit system (CBCS) for affiliated colleges, which would help students to take courses of their choice, learn at their own pace and adopt an inter-disciplinary approach to learning.

Curriculum and Syllabus of B.E. (CSE) Programme under CBCS from the AY 2017-18 consists of theory and practical courses categorized as follows:

i) Humanities and Social Sciences (HS) courses include Technical English, Engineering Ethics and Human Values, Communication skills, Environmental Science and Engineering.

ii) Basic Sciences (BS) courses include Mathematics, Physics, Chemistry, etc.

iii) Engineering Sciences (ES) courses include Engineering practices, Engineering Graphics, Basics of Electrical / Electronics / Mechanical / Computer Engineering, Instrumentation etc.

iv) Professional Core (PC) courses include the core courses relevant to the chosen specialization/branch.

v) Professional Elective (PE) courses include the elective courses relevant to the chosen specialization/ branch.

vi) Open Elective (OE) courses include the courses from other branches which a student can choose from the list specified in the curriculum.

vii) Employability Enhancement Courses (EEC) include Project Work and/or Internship, Seminar, Professional Practices, Case Study and Industrial/Practical Training.

viii) Self-Study Course: Students not having current backlog (arrear) and has 8.0 CGPA are permitted to opt for a Self-Study course, i.e., online course of 3 credits instead of one elective course with the approval of Head of the Institution and Centre for Academic Courses, Anna University, Chennai. Such students’ need to obtain certification or credit from the online course provider to become eligible for writing the End Semester Examination for the subject to be conducted by Controller of Examinations, Anna University.

The details regarding online courses taken up by the eligible students should be sent to the Controller of Examinations, Centre for Academic Courses, Anna University one month before the commencement of End Semester Examination.

PASSING REQUIREMENTS

1) To get pass in a theory or practical course (subject), a student has to secure not less than 50% of total marks prescribed for the course (Internal Assessment Marks+ End Semester University Examination Marks) with a minimum of 45% of the marks prescribed for the End Semester University Examination. For other details, refer Anna University Regulations 2017.

To get First Class, a student should have passed the examination in all courses of all eight semesters within six years and should have secured a CGPA of not less than 7.

Click here to download/ view the Curriculum and Syllabus of B.E (Computer Science & Engineering), (I to VIII Semesters)

COURSE OUTCOMES AND COURSES OFFERED

A course is described in 3 to 6 course outcomes.

  • All the courses in the department have certain uniform number of Cos and two courses cannot have identical outcomes.
  • The COs must state the major skills, knowledge, attitude or ability that students will acquire.
  • Course Outcomes are narrower statements that describe what students are expected to know and be able to do at the end of each course.
  • COs relate to the skills, knowledge, and behaviour that students acquire in their enrolment through the course. Therefore, COs are what students are required to demonstrate at the end of a course and is a subset of POs and PSOs. COs should be observable and measurable.
  • COs should be expressed in terms of measurable and/or observable behaviours.
  • Course outcomes begin with an action verb from Bloom’s taxonomy.

The course outcomes of B.E., Computer Science Engineering programme of each semester of Anna University Regulation 2017 are as follows:

COs of the Courses Offered in the First Semester BE (CSE) Programme

COs of the Courses Offered in the Second Semester BE (CSE) Programme

COs of the Courses Offered in the Third Semester BE (CSE) Programme

COs of the Courses Offered in the Fourth Semester BE (CSE) Programme

COs of the Courses Offered in the Fifth Semester BE (CSE) Programme

COs of the Courses Offered in the Sixth Semester BE (CSE) Programme

COs of the Courses Offered in the Seventh Semester BE (CSE) Programme

COs of the Courses Offered in the Eight Semester BE (CSE) Programme

Dr. V Viswanath Shenoi  Photo

Dr. V Viswanath Shenoi M.Sc (Mathematics), M.Tech (Computer & Information Sciences), Ph.D (CSE)

Professor, Head Of The Department

17 Years' Experience in Teaching

Research Area/ Subject Expertise:

  • Information Systems
  • Data Analytics

DR.P.M. SIVA RAJA  Photo

DR.P.M. SIVA RAJA B.TECH. (INFORMATION TECHNOLOGY), M.TECH. (COMPUTER INFORMATION TECHNOLOGY), PH. D (COMPUTER SCIENCE ENGINEERING)

Assistant Professor

13 Years' Experience in Teaching

Research Area/ Subject Expertise:

  • Machine Learning Image Processing Optimization

DR.D.S.SHAJI  Photo

DR.D.S.SHAJI B.TECH. (INFORMATION TECHNOLOGY), M.TECH. (INFORMATION TECHNOLOGY), PH. D (COMPUTER INFORMATION TECHNOLOGY)

Assistant Professor

13 Years' Experience in Teaching

Research Area/ Subject Expertise:

  • Cloud Computing - Data Security

Mr. M. Arun  Photo

Mr. M. Arun B.E. (Computer Science &Engineering), M.E. (Network Engineering), Ph.D(Pursuing

Assistant Professor

11 Years' Experience in Teaching

Research Area/ Subject Expertise:

  • Network security

Mr.M.Gokuldhev  Photo

Mr.M.Gokuldhev B.E. (Computer Science & Engineering), M.E. (Computer Science &Engineering), Ph.D (Pursuing)

Assistant Professor

7 Years' Experience in Teaching

Research Area/ Subject Expertise:

  • Computer Networks
  • Web Technology
  • Grid Computing

MR. N. V. RAJEESH KUMAR  Photo

MR. N. V. RAJEESH KUMAR B.E. (COMPUTER SCIENCE ENGINEERING), M.TECH. (INFORMATION TECHNOLOGY)

Assistant Professor

5 Years' Experience in Teaching

Research Area/ Subject Expertise:

  • Network Security

MS.V.THANAMMALINDU  Photo

MS.V.THANAMMALINDU B.E. (INFORMATION TECHNOLOGY), M.E. (COMPUTER SCIENCE ENGINEERING), M.B.A

Assistant Professor

2 Years' Experience in Teaching

Research Area/ Subject Expertise:

  • Image Processing IoT

Mrs Sumithra R. P  Photo

Mrs Sumithra R. P B. Tech. (Information Technology), M.E. (Computer Science and Engineering

Assistant Professor

8 Years' Experience in Teaching

Research Area/ Subject Expertise:

  • Web Technologies
  • Service Oriented Architecture
  • DataWarehousing and DataMining

MS.S.SINDUJA  Photo

MS.S.SINDUJA B.TECH. (COMPUTER SCIENCE ENGINEERING), M.TECH. (COMPUTER SCIENCE ENGINEERING)

Assistant Professor

1 Years' Experience in Teaching

Research Area/ Subject Expertise:

  • Machine Learning Image Processing

MR. SREERAAG. G  Photo

MR. SREERAAG. G B.TECH(COMPUTER SCIENCE AND ENGINEERING), M.TECH (COMPUTER AND INFORMATION SCIENCE)

Assistant Professor

1 Years' Experience in Teaching

Research Area/ Subject Expertise:

  • Social Network analytics
  • Cyber Security
  • Information Science

MS. S.L. JOTHILAKSHMI  Photo

MS. S.L. JOTHILAKSHMI B.TECH(INFORMATION TECHNOLOGY), M.E (COMPUTER SCIENCE AND ENGINEERING)

Assistant Professor

5 Years' Experience in Teaching

Research Area/ Subject Expertise:

  • Computer Science

MS. THANUSHA  Photo

MS. THANUSHA B.E. (COMPUTER SCIENCE AND ENGINEERING), M.E (COMPUTER SCIENCE AND ENGINEERING)

Assistant Professor

5 Years' Experience in Teaching

Research Area/ Subject Expertise:

  • Computer Science

Contact Us

Designation

Name

E Mail

Mobile

Head of the Department

 Dr.Viswanath Shenoi V

hodcse_acet@amrita.edu.in

94448 07705

2nd Year A Class Advisor

Mr.Sreeraag G

g_sreeraag@amrita.edu.in

9497366628

2nd Year B Class Advisor

Mrs.Thannamal Indu V

v_thannammal@amrita.edu.in

93611 04560

3rd Year Class Advisor

Mrs.Sinduja S

s_sindhuja@amrita.edu.in

99432 01953

4th Year Class Advisor

Dr.Shaji D.S

ds_shaji@amrita.edu.in

94860 65941

Placement Co-ordinator

Mr.GokulDhev M

m_gokuldhev@amrita.edu.in

97912 95692

Industrial Visit Co-ordinator

Mrs.Sumithra R.P

rp_sumithra@amrita.edu.in

98438 92343

Database Co-ordinator

Mrs.Thanusha G

g_thanusha@amrita.edu.in

80566 35529