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Course Criteria
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1.00 Credits
Required of students pursuing a major in information systems & analytics. Intermediate career strategy course with the emphasis on successfully completing a focused career search in information systems & analytics. Target career industry sector(s) and specific opportunities and/or career tracks within preferred sector(s) will be identified. Emphasis is placed on creating a professional career strategy and career portfolio. It is recommended that students take this course by their junior year. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Identify current career related skills, interests, and values. 2. Identify potential career tracks and opportunities in information systems & analytics. 3. Identify key skills, knowledge and competencies necessary for successful career in information systems & analytics. 4. Conduct personal career SWOT analysis in the context of desired career tracks. 5. Create a career strategy for successfully entering the job market after graduation, including developing a professional portfolio, updating resume, improving interviewing skills, and building a professional network. Prerequisites: Recommended SSC 1010, or BUS 1050, or BUS 2000. FA, SP
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3.00 Credits
This course will introduce essential concepts in SQL and Python as it relates to data analytics. Students will be required to gain competency in cleaning , organizing, and analyzing data in ways that are common to business. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Demonstrate proficiency in building tables, inserting and deleting data, and updating existing data. 2. Demonstrate proficiency in querying the database including joining tables, including specific rows, and including specific columns. 3. Demonstrate proficiency utilizing subqueries, aggregates , group by , and having statements. 4. Demonstrate proficiency building stored procedures to extract understanding from the data. 5. Apply Python to read in data sets and include data oriented libraries. 6. Utilize Python to perform basic data analysis including descriptive statistics as well as aggregate statistics. 7. Utilize Python to Identify independent and dependent variables to perform extensive regression analysis. 8. Demonstrate a working proficiency in using regression analysis to gain insight into business problems. Prerequisites: ISA 2010 or CIS 2010 (Both Grade C- or higher). FA, SP
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3.00 Credits
Course focuses on a theoretical and hands-on exploration of business intelligence and analytics. It covers current best practices in statistical and quantitative analysis using large-scale data sets, exploratory and predictive models, and evidence-based methods to improve business decisions and actions. Dual listed with IT 4060 (students may only take one course for credit). **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Identify the key components and concepts associated with big data analytics. 2. Apply big data and statistical best practices to collect, cleanse, transform, and store large-scale data for subsequent analysis. 3. Analyze large-scale data sets to identify hidden patterns. 4. Evaluate data models using best practices. 5. Create recommendations for improving business decisions based on the data analysis. Prerequisites: STAT 2040 (Grade C- or higher); OR Both MATH 1040 (Grade C- or higher) and ISA 2010 (Grade C- or higher); OR Both MATH 2050 (can be taken concurrently) and ISA 2010 (C- or higher). FA
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3.00 Credits
A focus on the methods, tools and processes to effectively visually encode and present insights discovered from previously analyzed data. It includes practice transforming simple and complex data analysis outputs into relevant, accurate, and effective visual displays to improve communication and decision making. Dual listed with IT 4070 (students may only take one course for credit). **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Identify the key components and concepts associated with data visualization. 2. Recognize the ethical and financial consequences of poor data visualization techniques. 3. Differentiate between effective and ineffective methods in data analysis reporting. 4. Create graphically encoded data into useful formats from previously analyzed data. 5. Demonstrate the accurate communication of statistical findings for real world big data problems to decision makers with diverse skill levels. SP
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3.00 Credits
The project management course introduces students to the main stages of effectively managing the work of a team to achieve desired objectives. These stages include: initiating, planning, executing, controlling, and closing. It covers common pitfalls and best practices for successful management of a project. Software tools to facilitate the process will also be introduced. Finally, students will practice relating with stakeholders and team members in a professional manner. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Describe best practices for managing projects of various sizes including quality, time, cost, scope, risk, and success factors. 2. Identify common project pitfalls and strategies for avoiding them. 3. Identify resources needs, constraints, and estimate costs for each stage of the project life cycle. 4. Articulate roles to team members and clearly identify responsibilities and accountability. 5. Use good project management skills in a real world scenario including alignment with the organization's strategic plan, resolving differences, tracking progress, and making adjustments as necessary. 6. Analyze software tools to enhance the project management process. 7. Collaborate with stakeholders and project members in a professional manner. SP
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3.00 Credits
Capstone course requiring the completion of an aggressive information systems and analytics project. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Plan, identify, and design an ISA related project using industry standard techniques. 2. Communicate effectively with stakeholders on project progress and produce professional quality written and oral ISA reports that meet their needs. Prerequisite: Senior Standing, OR Instructor Permission. SP
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3.00 Credits
Required of all Computer and Information Technology majors, and open to students with a general interest in computer operating systems. Introduces operating system concepts, including file systems, process management, user management, and security. Students will install and configure LINUX and MAC OSX. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Use basic Linux commands to interact with directories, files, processes, and the system. 2. Navigate the Linux filesystem hierarchy in order to create, delete, and manipulate files. 3. Manipulate files using a text editor from the command line. 4. Perform basic administration tasks 5. Identify Linux commands and their proper usage. FA, SP
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3.00 Credits
This course covers installation, repair and maintenance of computer hardware. It also discusses installation, repair and maintenance of the Microsoft Windows operating system. This course prepares the student to take the CompTIA A+ certification exams. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1.Select and configure PC computer hardware. 2. Install, repair and support PC computer hardware. 3. Install, repair and support the Microsoft Windows operating system. 4. Pursue TestOut PC Pro certification. 5. Pursue COMPTIA A+ (220-901 & 220-902) certification. Course fee required. FA, SP
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1.00 Credits
This course will provide students an introduction to the cloud. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to 1. Demonstrate knowledge of AWS Cloud concepts. 2. Create and utilize cloud resources. 3. Apply security and compliance knowledge within the AWS Cloud. 4. Describe the core AWS services. 5. Explain the economics of the AWS Cloud. Course Fee required. FA, SP
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3.00 Credits
Covers administration of database management systems, logical database design, implementation of database designs, and application development using a DBMS. Students will design, manage, and implement databases and applications that use databases. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Design an effective database system. 2. Demonstrate the proper use of database normal forms. 3. Demonstrate the proper use of the SQL programming language. Course fee required. Prerequisites: CS 1400 (Grade C or higher) AND IT 1100 (Grade C or higher); OR CS 1410 (Grade C or higher). FA, SP
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