Instructor(s)/Author(s): Mary Figliulo, Clayton Smith

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1 New Course OR Existing Course Instructor(s)/Author(s): Mary Figliulo, Clayton Smith Subject Area/Course No.: COMSC-126 Units: 3 Course Name/Title: Introduction to Database Management Systems Discipline(s): Computer Information Systems, Engineering, Computer Science C-ID Name and Course No.: Data and Information Management, ITIS 180 Pre-Requisite(s): None Co-Requisite(s): None Advisories: COMSC-040, Eligibility for ENGL-100 Catalog Description: This course introduces the core concepts in database management systems (DBMSs). This is done through the hands on process of building a database. This process is centered around the understanding of the importance of data base management systems, learning and understanding the key terms associated with databases and their management systems; what the major characteristics of DBMSs and their advantages and disadvantages are; gaining a thorough grasp of the structures of different DBMSs; describing how database software is used to analyze and manipulate data; being familiar with data security issues, quality and recovery, and differing approaches to protecting and recovering data; identifying the value of decision support systems, data mining and warehousing. Schedule Description: Wondering how all that information is generated, supported, analyzed and retrieved in Google? What is Big Data? This introductory course in data base management systems introduces and describes the underlying foundation of data base support and queries. The course will include learning about database management systems such as Oracle, MySQL, and MS SQL Server and how they are used for database administration, relational modeling, normalization and database querying. This is a part of the Information and Communication Technologies degree and will satisfy a lower division requirement for the Information and Communication Technologies degree at campuses offering this degree. Hrs/Mode of Instruction: Lecture: _54 Scheduled Lab: Lab: Composition: Activity: Total Hours 54 (Total for course) Credit Credit Degree Applicable (DA) Grading Pass/No Pass (P/NP) Repeatability 0 Credit Non-Degree (NDA) Letter (LR) 1 (If Non-Credit desired, contact Dean.) Student Choice (SC) 2 3 Last date of Assessment: Cohort #: Please apply for: LMC General Education Requirement(s): None (Please list the proposed area(s) this course meets, or indicate none ) Transfer to: CSU UC IGETC Area CSU GE Area C-ID Number Course is Baccalaureate Level: Yes No Page 1 of 8 formatted

2 Signatures: Department Chair Librarian Dean/Sr. Dean Curriculum Committee Chair President/Designee CCCCD Approval (Board or Chancellor's Office) For Curriculum Committee Use only: STAND ALONE COURSE: YES NO FOR OFFICE OF INSTRUCTION ONLY. DO NOT WRITE IN THE SECTION BELOW. Begin in Semester Catalog year 20 /20 Class Max: Dept. Code/Name: T.O.P.s Code: Crossover course 1/ 2: ESL Class: Yes / No DSPS Class: Yes / No Coop Work Exp: Yes / No Class Code A Liberal Arts & Sciences SAM Code A Apprenticeship Remediation Level B Basic Skills B Developmental Preparatory B Advanced Occupational NBS Not Basic Skills C Adult/Secondary Basic Education C Clearly Occupational D Personal Development/Survival D Possibly Occupational E For Substantially Handicapped E* Non-Occupational F Parenting/Family Support F Transfer, Non-Occupational G Community/Civic Development *Additional criteria needed H General and Cultural 1 One level below transfer I Career/Technical Education 2 Two levels below transfer J Workforce Preparation Enhanced 3 Three levels below transfer K Other non-credit enhanced Not eligible for enhanced Course approved by Curriculum Committee as Baccalaureate Level: _Yes / No_ LMC GE or Competency Requirement Approved by the Curriculum Committee: Distribution: Original: Office of Instruction Copies: Admissions Office, Department Chairperson Rev Page 2 of 8 formatted

3 Institutional Student Learning Outcomes Check the institutional student learning outcomes (or category of outcomes) below that are reflected in your course: General Education SLOs (Recommended by GE Committee) At the completion of the LMC general education program, a student will: 1. read critically and communicate effectively as a writer and speaker. 2. understand connections among disciplines and apply interdisciplinary approaches to problem solving. 3. think critically and creatively 4. consider the ethical implications inherent in knowledge, decision-making and action. 5. possess a worldview informed by diverse social, multicultural and global perspectives. (Each of the above student learning outcomes for the general education program has a written explanation with illustrations and examples of its application within courses, as well as specific assessment criteria. Consult the GE program information pages.) None Information and Communication Technologies Model Curriculum Program-Level Student Learning Outcomes (PSLOs) 1. Be academically prepared to transfer to an Information Communication and Technologies program at a four-year university. 2. Demonstrate the ability to work with networking, databases technologies to solve a variety of problems. 3. Demonstrate the ability to apply programming concepts and methodologies to a range of technologies. Course-Level Student Learning Outcomes (CSLOs): Course Objectives: At the conclusion of this course, the student should be able to: 1. Define the role of databases and database management systems in managing organizational data and information. 2. Understand the fundamentals of the basic file organization techniques. 3. Design a relational database so that it is at least in 3rd Normal Form. 4. Implement a relational database design using an industrial-strength database management system, including the principles of data type selection and indexing. Use the data definition, data manipulation, and data control language components of Structured Query Language (SQL) in the context of one widely used implementation of the language. 5. Describe the role of databases and database management systems in the context of enterprise systems. 6. Describe the key principles of data security and identify data security risk and violations in data management system design. 7. Compare the difference between on-line transaction processing (OLTP) and online analytic processing (OLAP), and the relationship between these concepts and business intelligence, data warehousing and data mining. Assessments: The primary form of assessment in this course is problem based assessment. Students will be presented with challenge problems and will be required to submit solutions in the form of data base solutions. The challenge problems and solutions are progressively more difficult as the students learn more concepts and techniques to build their data base skills. Students enhance their previous learning and add new skills to solve progressively challenging problems. Page 3 of 8 formatted

4 CSLO EXAM Multiple Choice Create Data Base CSLO 1, 2 X X CSLO 3,4 CSLO 5, 6, 7 X X Exam Short Answer CSLO 1 and 2 Exams: On exam questions students will demonstrate knowledge with either multiple representation questions or short-answer questions. Example Exam Question: A schematic of the entire data base that describes the relationships in a data base is: 1. A Data Dictionary 2. Data Definition Diagram 3. Entity Relationship Diagram 4. Entire Data Relationship Diagram CSLO 3 and 4 Data Base Build Challenges: On homework assignments, students demonstrate the ability to develop solutions to assigned problems by creating a normalized data base using a high-level DBMS and then testing and verifying their solutions on a computer. Example Data Base Challenge: Create a DB that: A Database Problem Adapted from Chuck Cusack s Notes University of Nebraska MP3 Collection Problem Statement How can a person keep track of information about a music collection? They are not concerned about whether or not the music is in the cloud, on CDs, tapes, LPs, etc. For each recording, store which band recorded the album, the title, the year, and the chronology (e.g. this is the 4 th album for that band. Each song, including title, length, track number, and writer(s) should be tracked. Of course, if two bands record the same song, they might have different track numbers and lengths. For each band (group or individual), store the names of all of the band members. For each band member, keep their first and last names, and country of origin. Consider both band members and songwriters as musicians. Construct a database to store the required information so things like list all of the information for an album, list all songs written by a musician, etc. can be obtained. Solution Here is what the student can deduce: The obvious entities are Musicians, Bands, Albums, and Songs. There is a one-to-many relationship between Albums and Bands, which will require adding BandID to Albums. For each Musician, we need to store MusicianFirstName, MusicianLastName, and MusicianCountry. Since these may not be unique, we add MusicianID as a primary key. For each Band, we need to store the BandName, and BandID for a primary key. Page 4 of 8 formatted

5 For each Album, we need to store AlbumTitle, AlbumYear, AlbumNumber (for chronology), BandID from Bands, and AlbumID for a primary key. For each Song, we need SongTitle and SongID as primary key. There is a many-to-many relationship between Musicians and Bands, and Musicians and Songs, and Albums and Songs. We need a BandMusicians table with BandID and MusicianID. We need a SongWriters table with SongID and MusicianID. We need a AlbumSongs table with SongID, AlbumID, TrackLength, and TrackNumber. The TrackLength needs to be stored here rather than in the Songs table since different recordings could have different lengths. From this, the student can construct the following tables Music Database Tables Create the Data Base Using a possible collection of music, the student populates the DB. Then, the student will write sample queries for each: 1. How many songs are on album X? 2. How many albums did artist Y record? 3. How many bands is musician Z a member of? What are they? Which albums is he on? 4. How many different bands recorded song X? 5. How many albums do I have? How many bands are represented in my collection? How many musicians are represented in my collection? 6. Are there any bands whose members are all from different countries? 7. How many albums contain at least 5 songs? Exams: On the exam questions students will demonstrate knowledge of the data base concepts and management techniques, and the syntax of SQL. Example Exam Question: What does the below statement do? SELECT supplier_city FROM suppliers WHERE supplier_name = 'Ford' ORDER BY supplier_city DESC; Page 5 of 8 formatted

6 Conversely, write a SQL statement using the table Restaurants with the fields Restaurant-Name and Restaurant-Rank that will sort Restaurants by Rank in ascending order. CSLO 5, 6, and 7 Exams: On exam questions students will demonstrate knowledge with either multiple representation questions or short-answer questions. Example Exam Question: Google uses data bases for the main purpose of: 1. Helping their users 2. For making money by selling information about their users 3. For delivering online ads 4. To set rankings in searches Method of Evaluation/Grading: CLSO #1: Define the role of databases and database management systems in managing organizational data and information. 90% or greater of final exam non-written questions will be completed correctly. Responses to the written questions on the final exam will accurately describe and analyze the capabilities of technologies covered in the course. Directly relevant and accurate application of those technologies will be given in those questions requesting them. 70% to 79% of final exam non-written questions will be completed correctly. Responses in the written questions on the final exam will describe and analyze the capabilities of technologies covered in the course, but not be entirely accurate or clear. Partially relevant and accurate application of those technologies will be given in those questions requesting them. CLSO #2: Understand the fundamentals of the basic file organization techniques. 90% or greater of final exam non-written questions will be completed correctly. Responses to the written questions on the final exam will accurately describe and analyze the capabilities of technologies covered in the course. Directly relevant and accurate application of those technologies will be given in those questions requesting them. 70% to 79% of final exam non-written questions will be completed correctly. Responses in the written questions on the final exam will describe and analyze the capabilities of technologies covered in the course, but not be entirely accurate or clear. Partially relevant and accurate application of those technologies will be given in those questions requesting them. CLSO #3: Design a relational database so that it is at least in 3rd Normal Form. Database is constructed with minimal or no errors and meet all of the specifications. Database is constructed with minimal errors and meets some but not all of the specifications. CLSO #4: Implement a relational database design using an industrial-strength database management system, including the principles of data type selection and indexing. Use the data definition, data manipulation, and data control language components of Structured Query Language (SQL) in the context of one widely used implementation of the language. Page 6 of 8 formatted

7 Database is constructed with minimal or no errors and meet all of the specifications. Database is constructed with minimal errors and meets some but not all of the specifications. CLSO #5: Describe the role of databases and database management systems in the context of enterprise systems. Responses to the written questions on the final exam will accurately describe and analyze the capabilities of technologies covered in the course. Directly relevant and accurate application of those technologies will be given in those questions requesting them. Responses in the written questions on the final exam will describe and analyze the capabilities of technologies covered in the course, but not be entirely accurate or clear. Partially relevant and accurate application of those technologies will be given in those questions requesting them. CLSO #6: Describe the key principles of data security and identify data security risk and violations in data management system design. Responses to the written questions on the final exam will accurately describe and analyze the capabilities of technologies covered in the course and will take advantage of the appropriate data base management concepts and techniques that have been learned to-date. Responses in the written questions on the final exam will describe and analyze the capabilities of technologies covered in the course, but not be entirely accurate or clear and show a less than optimal use of programming concepts and techniques for the assigned problem. CLSO #7: Compare the difference between on-line transaction processing (OLTP) and online analytic processing (OLAP), and the relationship between these concepts and business intelligence, data warehousing and data mining. Responses to the written questions on the final exam will accurately describe and analyze the capabilities of technologies covered in the course and will take advantage of the appropriate data base management concepts and techniques that have been learned to-date. Responses in the written questions on the final exam will describe and analyze the capabilities of technologies covered in the course, but not be entirely accurate or clear and show a less than optimal use of programming concepts and techniques for the assigned problem. CSLO weighting: CSLO 1 15% CSLO 2 15% CSLO 3 20% CSLO 4 20% CSLO 5 10% CSLO 6 10% CSLO 7 10% Possible assessment structure: Data Base Build Out: 40% Midterm Exam: 30% Final Exam: 30% Page 7 of 8 formatted

8 Possible grading structure: A = % B = 80-89% C = 70-79% D = 60-69% F = less than 60% Course Content: A. Data Base Fundamentals and Design (30%) 1. Database approach 2. Types of database management systems 3. Basic file processing concepts 4. Physical data storage concepts 5. File organization techniques B. Data Base Build Out (40%) 6. Conceptual data model 7. Logical data model 8. Mapping conceptual schema to a relational schema 9. Normalization 10. Physical data model 11. Database languages 12. Data and database administration 13. Transaction processing 14. Using a database management system from an application development environment C. Security and Intelligence (30%) 15. Use of database management systems in an enterprise system context 16. Data / information architecture 17. Data security management 18. Data quality management 19. Business intelligence Instructional Methods: Lecture Lab Activity Problem-based Learning/Case Studies Collaborative Learning/Peer Review Demonstration/Modeling Role-Playing Discussion Computer Assisted Instruction Other (explain) Textbooks: Elmasri, R & Navathe, S. Fundamentals of Database Systems, 6th edition Publication : April 9, 2010 ISBN-10: ISBN-13: Kroneke, D. M. & Auer, D. - Database Processing: Fundamentals, Design, and Implementation, 13th Edition Publication : July 29, 2013 ISBN-10: ISBN-13: Page 8 of 8 formatted

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