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Material Type: Exam; Class: User Interface Software; Subject: Computer Science; University: Muskingum College; Term: Forever 1989;
Typology: Exams
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The final exam is cumulative, so covers information from the first two midterms, too. The review guides for those midterms apply to the final. What is below is just the new material since midterm
Week 10 Understand how run length encoding works, and be able to work with an example (or provide an example). Understand the difference between Lossless compression and Lossy compression. Know which category the following fall into: RLE, GIF, JPG, audio compression, video compression Understand different techniques used for audio and video compression Understand how digitizing images makes possible image enhancement & image restoration. Understand the difference between bitmapped and vector graphics Understand the hidden line problem with 3d graphics. Be able to describe the concept of streaming multimedia Be able to describe the ways a computer can be programmed to recognize human speech Week 11 Understand the concept of databases. Know how databases are organized (using tables). Understand what a column is, what a row is, what a table is. Understand what a primary key is, and what makes a good primary key. Understand what an artificial primary key is (aka autonumber) Be able to read and draw database design diagrams, including relationships and the 1 and many signs on them. Understand how to construct a one to many relationship between two tables, and a many to many relationship between two tables. Be able to recognize one to many and many to many relationships in database diagrams. Week 12 Understand the different ways in which simulations are used. Understand what time compression in a simulation is. Understand the difference between predictable and probabilistic models, the difference between using feedback and not, interactive and not. Be able to identify which a particular simulation uses. Week 13
Understand what the Turing Test is and how it is run (the original, not the approximation we did in class) Understand how the brute force approach relates to AI Understand what a heuristic is Understand the limiting a problem makes it easier to get a computer to solve it Understand what an expert system is, what a neural network is, what an evolutionary system is, what swarm intelligence is, Week 14 Be able to read and understand robot code.