CCMAS Course Search

Software entrepreneurial process. Principles of software business ownership. Identifying software market opportunities. Entrepreneurial software marketing. Software business communication and negotiation techniques. Feasibility analysis. Entrepreneurial financing. Legal issues. Software business plan development. Risk management.

The importance of Software Testing. Understanding Verification and Validation. How to assure it and verify it, and the need for a culture of quality. Avoidance of errors and other quality problems. Inspections and reviews. Testing, verification and validation techniques. Process assurance vs. Product assurance. Quality process standards. Product and process assurance. Problem analysis and reporting. Statistical approaches to quality control Lab WorK: Debugging tools; unit testing – black box and white testing techniques; integration and system testing tools; other testing tools – performance testing, load testing, stress testing, regression testing, security testing; manual testing vs automated testing.

Population and samples. Asymptotics. Statistical models and methodologies. Random sampling distributions. Elementary time series analysis. Index numbers. Demographic measures. Estimation (point and interval) and tests of hypotheses concerning population mean and proportion (one and two sample cases). Regression and correlation. Programming in Python computer language. Computation of mean, variance and correlation. Sorting and ranking of data. Data Step Processing. Preparing Data for Analysis. Evaluating Quantitative Data. Sample Size Estimation. Basic statistical computing in regression analysis and the analysis of designed experiments. Introduction to Monte Carlo methods. Use of statistical packages like SPSS, SAS, Minitab, GENSTAT, EPI-INFO, SYSTAT. Lab work: Practical experiments on statistical models and methodologies. Practical exercises on random sampling distribution methods. Practicals on test of hypothesis, population, mean, proportion, regression and correlation analysis. Exercise on how to sort and data from different data set. Use of SPSS for data analysis and computation.

Population and samples. Random sampling distributions, estimation (Point and interval) and Tests of hypotheses concerning population mean and proportion (one and two large sample cases). Regression and correlation. Elementary time series analysis.

History of secret writing. An overview of steganography. Introduction to steganography - Definition of steganography. Why is steganography important? Steganography vs. Encryption. Uses of steganography. Problem of steganography. Steganography applications and methods. Steganography types and methods - text steganography, images steganography, video and audio steganography. Steganography techniques. Survey of different steganography techniques for encrypting the data. Information hiding: steganography and steganalysis. Data hiding methods, techniques and access methods. Requirements for data hiding. Steganography and Business - the basics of embedding, different aspects in information- hiding systems. Steganographic algorithm. Security of a steganographic algorithm. Steganography detection, finding images, and verifying hidden content. Research and practical experimentation of data hiding tools. Research on investigation techniques and the latest countermeasures. Lab work: Practice secret writing using different methods and tools. Learn how to use steganography methods and techniques for encrypting the data. Master data hiding methods, techniques and access methods using case study exercises. Write samples steganography algorithm and secure the algorithm. Detect elements of steganography, finding images, and verifying hidden content in a given text, image, audio and video samples.

Students are attached to private and public organisations for a period of three months with a view to making them acquire practical experience and to the extent possible, develop skills in all areas of ICT. Students are supervised during the training period and shall be expected to keep records designed for the purpose of monitoring their performance. They are also expected to submit a report on the experience gained and defend their reports.

Students are attached to private and public organisations for a period of three months with a view to making them acquire practical experience and to the extent possible, develop skills in all areas of computing. Students are supervised during the training period and shall be expected to keep records designed for the purpose of monitoring their performance. They are also expected to submit a report on the experience gained and defend their reports.

Students are attached to private and public organisations for a period of three months with a view to making them acquire practical experience and to the extent possible, develop skills in all areas of computing. Students are supervised during the training period and shall be expected to keep records designed for the purpose of monitoring their performance. They are also expected to submit a report on the experience gained and defend their reports. 300 Level

Students are attached to private and public organisations for a period of three months with a view to making them acquire practical experience and to the extent possible, develop skills in all areas of ICT. Students are supervised during the training period and shall be expected to keep records designed for the purpose of monitoring their performance. They are also expected to document their experiences, produce & submit a report of the documentation, present and defend the reports.

Students are attached to private and public organisations for a period of three months during the second year session long break with a view to making them acquire practical experience and to the extent possible, develop skills in all areas of Software Engineering. Students are supervised during the training period and shall be expected to keep records designed for the purpose of monitoring their performance. They are also expected to submit a report on the experience gained and defend their reports. 300 Level