Linking of Greek Academic Libraries Action 3: rationalistic development of academic libraries’
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- GUIDELINES No 5
- EXAMPLE 1: SUBJECT ANALYSIS OF COURSES
- Course Level 1 (Undergraduate) / Department
| STRATEGIC PROGRAM FOR THE EDUCATION AND THE INITIAL PROFESSIONAL TRAINING
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Linking of Greek Academic Libraries Action 3: RATIONALISTIC DEVELOPMENT OF ACADEMIC LIBRARIES’ SCIENTIFIC JOURNALS COLLECTIONS CONSPECTUS APPLICATION GUIDELINES No 5USER NEEDS ANALYSISFor locating users’ needs the application of the “Course Analysis” method is suggested. “Course Analysis takes information about courses (or research projects) and represents it in a usable form. To analyze courses, librarians first obtain the information by reading course catalog listings, studying syllabi and reading lists, or interviewing teaching faculty. They then develop a course description, which is usually a list of expressions in one of these formats: call numbers, subject headings, or Boolean keyword expressions”1 For the project’s needs information can be gathered in the following way:
All the information gathered would be transformed into relevant LC Subject Headings. Then, for each subject heading one or more relevant LC Classification System call numbers will be attributed. It is highly important that the subject analysis of the information on courses and research or faculty interests is as detailed as possible so that the result would represent thoroughly the needs that the libraries’ collections should cover (See below EXAMPLE 1:SUBJECT ANALYSIS OF COURSES). It is advisable that all data regarding the corresponding course level (under- or postgraduate) or research interest(s) is accompanying each subject heading. This will facilitate the assignment of Conspectus Collection Goal Indicators (GL), by showing in a direct way the depth and breadth that a library’s collection should have in order to cover users’ needs for the specific subject heading. (See below EXAMPLE 2: DETAILED COURSE ANALYSIS WITH APPROPRIATE COLLECTION GOAL [GL] INDICATORS ASSIGNED). EXAMPLE 1: SUBJECT ANALYSIS OF COURSESCourse 1: SIMULATION TECHNIQUES Course Description: The course presents the principles of system modeling and the simulation techniques used for the evaluation of systems. Topics include: system characteristics, types of system models, world view and time advance mechanisms, computer simulation algorithms and methodology, random number generation, analysis of simulation languages and tools, Monte Carlo simulation, analysis of simulation output, models validation and verification. Derived Subject Headings
Course 2: ARTIFICIAL INTELLIGENCE Course Description: Basic concepts, computers and artificial intelligence. Basic concepts, knowledge representation, logic-based representation, problem solving as searching, search algorithms, semantic networks, logic, production systems, objects/frames, declarative versus procedural. Artificial intelligence languages: Prolog, Lisp. Search and computational complexity in artificial intelligence systems. Derived Subject Headings
EXAMPLE 2: DETAILED COURSE ANALYSIS WITH APPROPRIATE COLLECTION GOAL [GL] INDICATORS ASSIGNED
1 Leighton, H. Vernon. Course Analysis: Techniques and Guidelines. Journal of Academic Librarianship, May 1995. pp. 175-179. Download 33.84 Kb. Share with your friends:
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