Courses for Students of Section D


Course Description:

Advance Accounting is 5 credit course with 65 sessions for the semester. Advance Accounting focuses on advance concepts like partnership, mergers &Acquisition , valuation of Goodwill and shares.

Course Objective: To acquire accounting knowledge of partnership firms and joint stock companies 


COURSE OUTCOMES
Knowledge based outcome:
On completion of the class students will be able to:
CO1.Prepare Financial Statements in the form suitable for publication.
CO2.Understand consolidated financial statements.
CO3.Understand the Accounting concepts involved in Partnership form of business.
CO4.Understand about the procedures involved when debentures and shares are issued by the company.
Skill based outcome:
On completion of this course students will be able to:
CO5.Analyse the reasons and the logic behind the accounting procedures laid in the Act.
CO6.Get the practical exposures towards the few financing operations of the company.
CO7.Understand the context in various articles relating to the IPO’s and redemptions done by few companies.
CO8.Understand various case studies relating to admission, retirement of partners and dissolution of Partnership firms.

Course  Objective:

To gain understanding the fundamental concepts of  business statistics and its applications  in business decision making.

Course Outcomes:

By completing this course the student will learn to perform the following:

CO-1 Understand the basic concepts in business statistics.

CO-2 Explain basic statistical concepts such as statistical data collection, distinguish between                        primary data and secondary data.

CO-3 Explain statistical series, classification, tabular and graphical representation of data.

CO-4 Define and calculate different measures of central tendency viz. – Mean, Median, Mode,                        Geometric mean, Harmonic mean and  use appropriate measures of central tendency.

CO-5 Define and calculate different measures of dispersion viz. – range, quartile deviation, mean                  deviation, and standard deviation; and  use appropriate measures of dispersion

CO-6 Define and calculate coefficient of Skewness and Kurtosis.

CO-7 Describe different types of correlation, elaborate methods of calculating correlation of both                  ungrouped and grouped data. 

CO-8 Choose appropriate statistical method for solving practical problems.


               A Relational Database Management System is a tool used to manage the organization, storage, access, security, and data integrity. It is a specialized software that allows application systems to focus on the user interface, screen navigation, and data validation. At times when there is a need to add, modify, delete, or display data, the application system simply makes a call to the RDBMS. There are many different types of database management systems, of which relational databases are by far the most common.

Course Objectives

To acquire the basic conceptual background necessary to design and develop simple database system, Relational database model, ER model and distributed databases, and to write good queries using a standard query language called SQL


COURSE OUTCOMES

CO1

Understand terms related to database design and management

CO2

Understand the objectives of data and information management

CO3

Understand the database development process

CO4

Understand the relational model and relational database management system

CO5

Assess data and information requirements

CO6

Construct conceptual data models

CO7

Develop logical data models

CO8

Evaluate the normality of a logical data model, and correct any anomalies

CO9

Develop physical data models for relational database management systems

CO10

Implement relational databases using a RDBMS

CO11

Retrieve data using SQL

CO12

Understand database performance issues

CO13

Understand the basics of data management and administration

CO14

Understand the basics of data warehousing

CO15

Work as a valuable member of a database design and implementation team.