BA Management Science and Information Systems Studies (MSISS)Senior Fresh

The following is a brief overview of the modules taken in Senior Fresh year. Current students should refer to my.tcd.ie for full details, including assessment criteria and learning outcomes

 STU22001 Software Applications II STU22004 Applied Probability I STU22005 Applied Probability II STU22006 Management Science Methods MAU2E01/2 Engineering Mathematics I/II BUU22530 Introduction to Accounting BUU22550 Introduction to Finance CSU22010 Algorithms and Data Structures

STU22001 Software Applications II

10 ECTS credits

The purpose of this course is to give students experience in advanced computer applications. This will include the advanced applications of Excel. The course will introduce students to database technology using Microsoft Access. Students will use Visual Basic for Applications (MS Office 2010).

STU22004 Applied Probability I

5 ECTS credits

This module covers a range of topics in probability theory at an introductory level, with a view towards applications. Initially the students will be introduced to the so called Monte Carlo method and will be provided with the basic tools needed to model random systems. Problems of increasing complexity will be tackled by means of repeated simulations of random experiments. Subsequently a formal introduction to basic notions of probability will be provided so to justify and complement the numerical approach. Overall the goal of the module is to let the students gain familiarity with both analytical and simulation-based methods to deal with applied problems in probability.

STU22005 Applied Probability II

5 ECTS credits

This module develops several important ideas in statistical analysis making use of some of the ideas introduced in STU22004. It acts as a bridge to the sophister years by introducing the fundamental ideas that are used in the more advanced statistics modules that will take place then. The module will cover the derivation of confidence intervals and tests of hypothesis for normal data with emphasis on pivotal quantities; the Central Limit Theorem and what it says about confidence intervals and tests of hypothesis; the bootstrap approach to confidence intervals and tests of hypothesis; the method of maximum likelihood for parameter estimation and likelihood ratio tests; the q-q plot and transforming data to make it more Gaussian; multivariate distributions and dealing with multivariate data.

STU22006 Management Science Methods

10 ECTS credits

This course is based on developing and solving mathematical models of real life problems.  In the first semester, students receive a theoretical introduction to the fundamental elements of a mathematical model.  Modelling techniques are taught to solve problems in many domains.  In the second semester students are introduced to the concepts, ideas and techniques involved in simulation.

MAU22E01/2 Engineering Mathematics III/IV

5 ECTS credits each

These modules are a natural continuation of the Junior Fresh Modules MA1E01 Engineering Mathematics I and MA1E02 Engineering Mathematics II. Engineering Mathematics III introduces students to further fundamental ideas and methods of mathematics for engineering, covering the areas of multivariate calculus, integration and Laplace transforms. The aim of the module is to provide the necessary background and to teach the students to use it efficiently. Engineering Mathematics IV introduces and illustrates the fundamental ideas and methods of linear algebra and fourier analysis. The module also introduces the concept of n-dimensional vectors and shows their role and importance in practice; shows the interrelations between linear systems, linear transformations and their matrices.  The module aims to promote mathematical confidence and sensibility and to enable students to apply their knowledge to new situations.

BUU22530 Introduction to Accounting

5 ECTS credits

The overall goal of these modules is that students obtain a sound understanding of 'money in organisations and – more specifically – learn how to judge (a) whether organisations are performing well and are financially healthy or (b) whether there are weaknesses in their financial performance/financial structure. The modules deal with the construction and interpretation of five key financial statements – the balance sheet, the income statement, the statement of changes in equity, the statement of comprehensive income and the cash flow statement. Underlying concepts relating to matching, income measurement and asset valuation are explored in detail and the principles of sound financial management are developed as the modules progress.

BUU22550 Introduction to Finance

5 ECTS credits

This module introduces fundamental concepts and techniques of modern finance. It starts with reviewing the nature and role of financial markets, institutions and securities. The module proceeds with the presentation of the key tools used by financial managers and investors in analysis and decision making. The theoretical models and assumptions underlying the development of modern financial techniques will also be examined. On completion of the module students should be able to understand the principles underlying the working of most financial markets, to carefully evaluate investment opportunities and understand associated risks

CSU22010 Algorithms and Data Structures

10 ECTS credits

The aim of the module is threefold:

1. To teach effective programming and problem solving, using a core toolset of classical algorithms and data structures.
2. To introduce the methods for evaluating the performance and requirements of programs written by the students.
3. To promote effective software engineering by using well-established techniques for code modularity, structuring, debugging and readability, such as Design by Contract, and unit testing.