| CODE | CIS1004 | ||||||||||||
| TITLE | Computing for Chemists and Pharmacists | ||||||||||||
| UM LEVEL | 01 - Year 1 in Modular Undergraduate Course | ||||||||||||
| MQF LEVEL | 5 | ||||||||||||
| ECTS CREDITS | 4 | ||||||||||||
| DEPARTMENT | Computer Information Systems | ||||||||||||
| DESCRIPTION | This unit gives an introduction to general computing. Its aim is to give students the opportunity to gain practical experience in the use of desktop based software available in most office environments such as spreadsheets, email as well as more advanced data analytic tools. Most scientific research requires the collection and analysis of data, particularly large volumes of data. Database concepts such as data design and the use of database management systems will be treated. Advanced data analytic tools, such as those used in spreadsheets e.g. data table functions, formulae, statistical functions, charts and pivot tables in spreadsheet software. The large volume of diverse data available for research is often underutilised. Data Mining provides many useful techniques to discover knowledge embedded in available data using the power of current computing processing and readily available data mining software. Concepts in Data Mining will also be introduced as well as the use of readily available data mining. Basic data embedding concepts like OLE, DDE and their practical use, basic data exchange between different products. Groupware, Social Networking, Mobile and Smart Wearable applications will also be discussed as these are very important communication and data sharing tools which are used for personal and social purposes but are also important for research, industry and commerce. The increased use and sharing of computer information systems exposes users and organisations to a number of threats. These will be discussed together with solutions available for the different threats. Textbooks: - Introduction to Information Systems, 16 th Ed.,O’ Brian George and Marakas James A., McGraw Hill Education, 2013. - Data mining : concepts and techniques, Jiawei Han, Micheline Kamber, Jian Pei. – 3rd ed. p. cm. ISBN 978-0- 12-381479- 1 1. Data mining. I. Kamber, M, 2011. - Essentials of Business Information Systems 7th Revised Ed. , Laudon Kenneth C., Laudon Jane P., Addison Wesley Longman; 7th Revised edition edition (November 2006), ISBN 978-0132278195. |
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| ADDITIONAL NOTES | This study-unit is offered for students attending a Pharmacy or Chemistry course. Biology students can attend subject to Department of Biology approval. This study-unit is not available for ICT students. |
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| STUDY-UNIT TYPE | Lecture | ||||||||||||
| METHOD OF ASSESSMENT |
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| LECTURER/S | Michel Camilleri |
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The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2023/4. It may be subject to change in subsequent years. |
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