Download CS452: Learning Outcomes wrt Various Kinds of Knowledge

CS452: Learning Outcomes
Foundational
 Know fundamental ideas about data, metadata, schema-less data, and annotated data.
 Understand basic ideas about conceptual modeling and its relationship to ontology
(“What is the nature of a knowable thing?”), epistemology (“What do you know?”, “How
do you know it?”), and logic (reasoning over conceptual models).
Application
 Become familiar with the terminology and fundamental concepts of relational databases
and database management systems.
 Learn SQL well. This includes relational algebra and relational calculus as the basis for
SQL queries. It also includes embedding SQL in a high-level programming language, and
it includes triggers and transaction processing.
 Understand performance issues and optimization strategies. This includes query
rewriting, secondary storage characteristics, and access strategies.
 Be able to design and develop database applications. This includes conceptual modeling
and normalization theory.
 Become familiar with some of the current challenges facing database professionals (e.g.
semi-structured data management, XML databases, information extraction, and semanticweb technology).
Integration
 Be able to leverage mathematics (discrete structures, in particular) to enhance
understanding of practical DB properties (e.g., set theory and relational algebra for query
processing; predicate calculus for query processing; hypergraphs, functions, and relations
for schema design).
 Understand and know ways to overcome the impedance mismatch between nonprocedural query processing and procedural programming languages.
 Know some of the issues in dealing with a myriad of data in different forms, in different
databases, and in different storage media all at the same time.
Human Dimension
 Assess self (interests & goals) with respect to the computerized world of data.
 Understand others as they grapple with the computerized world of data.
Caring
 Seek learning by study and also by faith.
 Seek a spirit of togetherness in learning.
 Care about dataits foundational notions, its application.
Learning to Learn
 Ask questions to learn (“seek and ye shall find”).
 Realize that learning is largely under your control.
 Know how to get help from learning material and from other people.
 Be able to read and use mathematics to support abstractions that, in turn, support database
applications.