Department Advisory Committee

Department Advisory committee constitutes the following members

External Academia Dr. Subha V, Professor, School of Engineering, CUSAT
Industry Dr. Anil Joseph, Managing Director GeoStructurals (P) Ltd.
Industry C Prathapmohan Nair, Associate Director, Pricewater Coopers International Ltd.
College IQAC Coordinator Dr. Unni Kartha G, Dean – Academics
Principal
Vice Principal Dr. Mini P R
Head of Department Dr. Jiji Antony, Professor, FISAT
Senior Faculty Dr. Asha Joseph, Associate Professor, FISAT
Faculty Member Dr. Kavitha P E, Associate Professor, FISAT
Department IQAC Member Ms. Rinu J Achison, Assistant Professor Sr. Grade, FISAT
Parent Dr. Lilly Thomas
Alumni Mr. Shobin Manu Mathew

National Quality and Completions Manager – NZ

John Holland NZ Ltd

Professional Body Mr. Biji Stephen, Founder Chairman, Builders Association of India, Angamaly Centre
Student Mr. Sivaraj B, Final Year

 

Customer Analytics

ADD ON COURSE (2021-22) 

 Customer Analytics 

Course Facilitator: Dr. Jose Varghese 

(josevarghese@fisat.ac.in) 

Introduction: 

Customer analytics is a process by which data from customer behavior is used to help make  key business decisions via market segmentation and predictive analytics. This information is  used by businesses for direct marketing, site selection, and customer relationship management. 

Course Objectives: 

  • Create a single, accurate view of a customer to make decisions about how best to

acquire and retain customers. 

  • Gather deeper understandings of customers’ buying habits and lifestyle preferences

Course Outcomes: 

At the end of the course, the student will be able to:- 

CO 1: Acquire knowledge related to the various terminologies and techniques associated  with customer analytics 

 CO 2: understand the segmentation process 

 CO 3: Analyze how the markets prices are determined 

CO – PO Mapping

CO/PO  PO1  PO2  PO3  PO4  PO5
CO1  2
CO2  2
CO3  2

 

Course Delivery Methods:

Lecture 

Mode

Problems  Video  

Sessions

Assignment
CO 1  √  √  √ 
CO 2  √  √  √ 
CO 3  √  √  √ 


Eligibility: 

Student should score 50% (30 marks) & 80% attendance to be eligible for the certification. 

Syllabus: (Total Hours Required – 30) 

Module 1- Marketing Management Process and Customer Analytics 

The Marketing Management Process and its link to Customer Analytics and Customer Insights – Correlation – Simple linear regression – Trend – seasonality- Exponential smoothing 

Module 2 – Pricing 

Non-linear pricing strategies for profit maximization – price skimming and sales – optimal pricing – price bundling – demand curve and the willingness to pay 

Module – 3 – Customer Insights 

Conjoint analysis – product attributes and levels – full profile conjoint analysis – choice based conjoint  analysis – random utility theory 

Module 4 – Customer value 

Lifetime customer value, – relation between spending, customer acquisition and customer retention – Market basket analysis – RFM analysis 

Module 5 – Market Segmentation 

Cluster analysis – collaborative filtering – classification trees for segmentation – Application of  Customer Analytics in Advertising, Retailing and Internet & Social Marketing 

References: 

  1. Winston, Wayne L. (2014), Marketing Analytics: Data-Driven Techniques with Microsoft Excel, 1st  ed. Wiley. 
  2. Winston, Wayne L. (2014), Marketing Analytics: Data-Driven Techniques with Microsoft Excel, 1st  ed. Wiley. 
  3. Malhotra, Naresh (2015), Marketing Research – An Applied Orientation, 7th ed., Pearson  EducationVandana Ahuja. Digital Marketing. Oxford University Press India, 2015 
  4. Damian Ryan. Understanding Digital Marketing: Marketing Strategies for Engaging the Digital  Generation (3rd Edition). Kogan Page Publishers, 2014.

reach us

adresss

Rewind

The Alumni Association of the Department of Computer Applications, FISAT

Creating an engaged, supportive alumni network is crucial to an institution’s success. Alumni stay as a vital resource for any academic department. Staying connected with the department’s alumni helps to enrich the student community with industry practices and also helps in the strategic growth and advancement of higher education programmes. Rewind – the alumni association of the Department of Computer Applications helps in moulding the students to industry ready professionals. Our alumni stay connected through rewind and its activities. They always stay as a helping hand for their budding juniors by enlightening them with their experience and knowledge gained over years after passing out from the campus.

The various programmes conducted by Rewind include

  • Alumni Meets
  • My Stories -Session by alumni to share their success stories to inspire and guide their juniors.
  • Vishnu Venumohan Memorial endowment award for the best outgoing student of the department.
  • Webinars
  • Technical Talks
  • Workshops

Ranks

Sl.No Name of the Student Year of Award Rank/Position Photograph
1 Ms. Nimmy George 2010 First Rank
2 Ms. Soumya K.U (MGU) 2011 Third Rank
3 Ms. Suman Eliza Sebastian (MGU) 2012 First Rank
4 Ms. Nandana Varma (MGU) 2015 First Rank
5 Ms. Muhsina K S (MGU) 2015 Second Rank
6 Mr. Adarsh Kadameri (MGU) 2016 Third Rank
7 Mr. Sanjo George (KTU) 2020 3rd Position
8 Ms. Anjaly Madhu (KTU) 2021 4th Position

 

Programme Educational Objective (PEO)

  • PEO1: To shape management aspirants into socially committed managers and entrepreneurs who can create organic change in business and society. (Socially committed Managers and Entrepreneurs)
  • PEO2: To nurture global professionals who can excel corporate expectations with a unique blend of transferable skills and institution-driven excellence. (Successful careers)
  • PEO3: To transform student attitudes through continuous and experiential learning and shared knowledge dissemination in supportive learning environments. (Lifelong learning)

Add-on Courses

The Department of Computer Applications offers various skill enhancing add-on courses to empower the students thereby supplementing the MCA curriculum to bridge the gap between industry and academia. These add-on programs are offered with the help of internal as well as external resources. Students who successfully complete these courses are issued with certificates.

List of Courses

(2023 – 2024)

 

1. Add-On Course on AWS Fundamentals

  • Course Code: 21MCAAOC401
  • Resource Person: Internal
  • Beneficiaries: Fourth Sem MCA Students
  • Instructional Strategies: Lectures, Tutorials, MCQs, Assignments/Activities.
  • Course Objectives: The Course is intended for final year students aiming to help them to build and  validate their skills so they can get more out of the cloud. This AWS Fundamentals Course is designed to teach the core concepts needed to work effectively within AWS.

2. Self-Paced Course on Academic Typesetting Using LaTeX

  • Course Code: 21MCAAOC301
  • Resource Person : External
  • Beneficiaries: Third Sem MCA Students
  • Instructional Strategies: Video Lectures, Tutorials, MCQs, Assignments/Activities.
  • Sample Video Link : https://youtu.be/c5dnMPrdits
  • Course Objectives: The Course is intended for final year students aiming to help them in preparing the main project report, mini project report and the seminar report using LaTeX. For preparing the presentations, the beamer package is also introduced through the course.

3. Add-On Course on Statistical Programming Using R

  • Course Code : 21MCAAOC201
  • Resource Person : Internal
  • Beneficiaries: Second Semester MCA Students
  • Instructional Strategies: Lectures, Assignments/Tutorials.
  • Course Objectives: The Course is intended for second semester MCA students aiming to introduce the R Programming language. R is an open-source programming language that is widely used as a statistical software and data analysis tool. R provides various facilities for carrying out machine learning operations like classification, regression and also provides features for developing artificial neural networks which will be beneficial for the students while doing mini or main projects.

4. Add-On Course on Data Mining Tools

  • Course Code : 21MCAAOC201
  • Resource Person : Internal
  • Beneficiaries: Second Semester MCA Students
  • Instructional Strategies: Lectures, Assignments/Tutorials.
  • Course Objectives: The Course is intended for second semester MCA students aiming to introduce the Data Mining concepts and commonly used tasks/algorithms. The implementation of concepts/algorithms using Weka, R Programming language have also been introduced which will be beneficial for the students to do mini/main projects in Data Mining.

5. Add-On Course on Review of C Programming

  • Course Code: 21MCAAOC101
  • Resource Person: Internal
  • Beneficiaries: First Semester MCA Students
  • Instructional Strategies: Lectures, Assignments/Tutorials.
  • Course Objectives: This is a basic course and the student is expected to review and understand the programming concepts which will in turn help them in learning other Computer Languages in the curriculum.

6. Add-On Course on Basics of Accounting

  • Course Code: 21MCAAOC102
  • Resource Person: Internal
  • Beneficiaries: First Semester MCA Students
  • Instructional Strategies: Lectures, Assignments/Tutorials.
  • Course Objectives: This course is intended to help the students to learn the basic concepts and functions of accounting and its role in the performance of an organization and to understand how to record the day-to-day operations of an organization in standard format. Learners shall have a broad view of terms like journal, ledgers and final book of accounts.

Program Outcomes & PSO

Programme Outcomes (PO)

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, formulate, 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.

 

Program Specific Outcomes (PSO)

The students of the  Computer Science and Engineering  Programme will have:

  • 1. The ability to implement, analyze and develop algorithms based on computational theory in the fields of networking, machine learning, data mining, pattern recognition, robotics and other important areas of computer science for productive and effective design of computer-based systems of diverse complexity.
  • 2. The ability to apply standard engineering practices, strategies and tactics for the development and management of software and hardware projects, using open source programming environments to deliver quality end products.

 

Vision, Mission

Vision

To become a centre of excellence, moulding quality computer science professionals, catering to the ever-changing needs of the industry, society and promoting quality research.

 

Mission

M1 – (Teaching – Learning): Inculcate a passion for academic excellence through innovative teaching and learning process.

M2 – (Develop Entrepreneur Skills): To create opportunities for students for pursuing research and for developing entrepreneurial skills.

M3 – (Social Skill): Nurture the students to be technically competent, morally upright and socially responsible computer science engineers to meet global challenges.

 

 

 

 

Scope Of Employment

  • A Computer Science Engineer can work in fields including but not limited to Image Processing, IOT, Artificial Intelligence, Machine Learning, Data Science, Cloud Computing, Web Development, Information Systems etc.
  • Our students get placed in leading core & IT companies like IBM, TCS-Digital, CTS, Wipro, Infosys, US Technology, IBS, Amazon India, BYJYUS App, Speridian, Qburst etc.
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