ity University of Hong Kong Information on a ourse offered by Department of Management Sciences with effect from Semester in 2014 / 2015 Part I ourse Title: SS Programming ourse ode: MS3217 ourse Duration: One semester redit Units: 3 Level: 3 Medium of Instruction: English Prerequisites: Nil Precursors: F2200 Management Sciences I Equivalent ourses: MS3251 nalytics Using SS Exclusive ourses: Nil Part II ourse ims Provide students with concepts and knowledge of SS programming Develop students programming technique to access data, manipulate data and do reporting. Prepare students for a position in managing business activity for data management, database marketing in the commercial and government sectors. ourse Intended Learning Outcomes (ILOs) No. ILOs Weighting (if DE-related dimension 1. Discuss the relevant concepts of SS programming in data management 10 % bility 2. pply programming techniques to create SS dataset 10% bility 3. Discuss the methods of data manipulation by various SS data steps 60% bility 4. Produce summary reports using SS procedures 20% bility 1
Teaching and Learning ctivities (TLs) (These are indicative of likely activities and tasks designed to facilitate students achievement of the ILOs. Final details will be provided to students in their first week of attendance in this course.) ILO TLs No. 1-4 1. Lecture: oncepts and general knowledge of SS programming are explained Introduce the methods of data manipulation and reporting. 1-4 2. Tutorial: Students perform in-class hand-on exercise so that learning difficulties can be identified and tackled Hours/week (if onstructive lignment of ILOs and TLs TL 1 TL 2 ILO 1 ILO 2 ILO 3 ILO 4 Hours/week (if ssessment Tasks (These are indicative of likely tasks designed to assess how well the students achieve the ILOs. Final details will be provided to students in their first week of attendance in this course.) ILO No. Types of ssessment Tasks (Ts) ssessment Details 1-4 1. ssignment ssignment is designed to enforce students understanding of the knowledge of SS programming 1-4 2. Mid-tern Test The mid-term test is designed to assess students understanding of the key concepts and logical 1-4 3. Written Examination (2 hours) algorithm of SS programming The exam is designed to assess students professional knowledge of data management using SS programming as well as the ability to apply them to solve business problems Weighting (if 20% 30% 50% 2
onstructive lignment of ILOs and ssessment Tasks T 1 T 2 ILO 1 ILO 2 Grading of Student chievement: Refer to Grading of ourses in the cademic Regulations (ttachment) and to the Explanatory Notes. T1: ssignment + Strong evidence of original thinking; good organization, capacity to analyse and synthesize; superior grasp of subject matter; evidence of extensive knowledge base. + - - dequate Student who is profiting from the university experience; understanding of the subject; ability to show some evidence of familiarity with without repeating the course. subject matter; weakness in critical and analytic skills; limited or irrelevant use of T2: Mid-term Test + Strong evidence of understanding the key concepts and definitions of the learned subject; capacity to analyse and synthesize; superior grasp of subject matter; evidence of extensive knowledge base. 3
+ - - dequate Student who is profiting from the university experience; understanding of the subject; ability to show some evidence of familiarity with further. subject matter; limited or irrelevant use of T3: Written Examination + Strong evidence of original thinking; good organization, capacity to analyse and synthesize; superior grasp of subject matter; evidence of extensive knowledge base. + - - dequate Some evidence of grasp of subject, little issues. without repeating the case report. subject matter; weakness in critical and analytic skills; limited or irrelevant use of 4
Part III Keyword Syllabus 1. oncepts of SS Programming Introduction to SS programming and logical algorithm 2. SS asic oncepts and component of SS system; reate SS dataset; Produce simple list reports. 3. asic SS programming dd more information to all or selected observations; Perform the same action for some variable; Select observations and variables; alculate across observations; Make use of SS functions 4. Modifying and combining SS datasets Reade SS datasets; reate a sample of data; ombine SS datasets. 5. Producing Summary Reports reate reports using FREQ, MENs, and REPORT procedures. Delivery output of reports in a variety of formats. Recommended Reading 1. SS Institute Inc. 2001, Step-by-step Programming with ase SS Software, SS Institute 2. M. uchecker, S. alhoun & L. Stewart 2007, SS Programming I: Essentials ourse Notes, SS Institute. 3. J. heema & M.Thielbar 2007, SS Programming II: Manipulating Data with the DT Step ourse Notes, SS Institute. 4. Michele M. urlew 2006, SS Macro Programming Made Easy, Second Edition, SS Institute. 5. J. Simon & T. Stemler 2008, SS Macro Language 1: Essentials, ourse Notes, SS Inc. 6. Davetta Dunlap and Mark Jordan 2008, SS SQL 1: Essentials, SS ourse Notes, SS Inc. 5