Course Search Results

  • INTS 4890R: Independent Study

    1.00 - 3.00 Credits
    Utah Tech University

    Provides opportunities for majors to engage with an interdisciplinary issue or problem of interest. Projects must be proposed by the student, approved by the department chair, and focused on integrated, interdisciplinary methods and perspectives. All projects will require research and a written product, and students will be expected to meet with the instructor regularly throughout the term. Students may apply no more than 6 credits of Independent Study courses to the Integrated Studies bachelor's degree. Variable credit: 1.0-3.0. Repeatable up to 6 credits subject to graduation restrictions. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Complete an in-depth study of an interdisciplinary topic as evidenced through written work and/or oral presentation. Prerequisites: INTS 3100; AND Advanced standing. FA, SP, SU
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  • INTS 4950R: Integrated Studies Senior Thesis

    3.00 Credits
    Utah Tech University

    This is a one or two-semester Senior Research and Senior Thesis series that in some cases may extend to three semesters and that provides the culminating experience in the Integrated Studies program and is also a capstone option for the Individualized Studies program. The first semester focuses on research questions, reviewing academic literature, methods, and scholarly writing. Students who choose to complete a second semester will develop and execute their interdisciplinary research or creative project that relates to their areas of concentration through careful analysis and creative synthesis. Students will have the option to directly collaborate with faculty to support their ongoing research. Repeatable up to 9 credits subject to graduation requirements. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Formulate an appropriately interdisciplinary question that draws upon the elements of both emphasis areas to develop a more comprehensive understanding of the issue or problem. 2. Design and follow an appropriately academic and systematic research process. 3. Synthesize emphasis area research and perspectives to develop a more complex understanding of the subject of interest. 4. Apply the standard research, documentation, and communication methods of two academic disciplines in the thesis project. 5. Complete a research-based project and/or paper that demonstrates integrative understanding of an interdisciplinary issue, as well as disciplinary competence in two areas of emphasis. Prerequisites: INTS 3100 (Grade C or higher), senior status, and instructor permission. FA, SP, SU
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  • ISA 2010: Introduction to Business Data Analytics

    3.00 Credits
    Utah Tech University

    Required of all students in the College of Business and open to other interested students. Focuses on analyzing business data using common software platforms to solve business problems. Covers how business professionals use data to inform business decisions in areas like marketing, finance, and operations. Discusses how analyzing business data can be leveraged for a variety of career opportunities using industry recognized software and techniques. The skills acquired in this course are foundational for several upper-division courses in the College of Business. Students prepare for and take the MOS Excel Expert Certification as part of the course and gain experience using other advanced analytics tools. Inclusive Access Course Material (electronic book) fees may apply, see Fees tab under each course section for details. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Develop spreadsheet models incorporating advanced formulas, functions, charts, pivot tables, and macros. 2. Use software tools to connect, transform and present data in formats suitable for decision making. 3. Build dashboards and workbooks to visualize data insights. 4. Explore diverse career paths in business data analytics. FA, SP, SU
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  • ISA 2011: Microsoft Office Specialist (MOS) Excel Expert Certification

    0.00 Credits
    Utah Tech University

    Will post a Pass on student transcript if student can show they have met Microsoft Office Specialist (MOS) Excel Expert Certification. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Demonstrate certification in Microsoft Office Specialist (MOS) Excel Expert.
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  • ISA 2050: Management Information Systems

    3.00 Credits
    Utah Tech University

    This course provides students with a comprehensive understanding of how technology is applied in business environments. It emphasizes the application of management information systems (MIS). It explores the critical need to support business processes across operational, strategic, and decision-making functions for organizations of all sizes. Students will gain hands-on experience solving business problems using tools such as SQL, Python, and visualization tools. Students will learn how to query databases, perform complex data retrieval, and manipulate data to support business decision-making processes. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Describe and identify the key elements of Global Information Systems. 2. Analyze business situations, identify relevant functional and technological issues, and defend viable courses of action. 3. Articulate strategies for implementing and improving information systems to create value for an organization. 4. Use SQL extensively for querying and managing business data effectively. 5. Develop effective visualizations to effectively communicate analytical findings. Prerequisites: ISA 2010 (Grade C- or higher). FA, SP
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  • ISA 3001: Info Sys and Analytics Intermediate Career Strategies

    1.00 Credits
    Utah Tech University

    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. Recommended prerequisite: SSC 1010, or BUS 1050, or BUS 2000. **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. FA, SP
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  • ISA 3020: SQL & Python for Analytics

    3.00 Credits
    Utah Tech University

    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 2050 (Grade C- or higher). FA, SP
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  • ISA 4060: Big Data Analytics

    3.00 Credits
    Utah Tech University

    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: ISA 3020 (Grade C- or higher). FA
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  • ISA 4070: Data Visualization and Storytelling

    3.00 Credits
    Utah Tech University

    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. Prerequisites: ISA 2010 or ISA 2011 (Recommended) Grade C- or higher. SP
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  • ISA 4250R: Analytics & Modeling Practicum

    1.00 - 3.00 Credits
    Utah Tech University

    Elective analytics course for information systems and analytics students and open to other majors. Students get hands on experience working with analytics projects for the community. Course may be repeated for up to 6 credits. **COURSE LEARNING OUTCOMES (CLOs)** At the successful conclusion of this course students will: 1. Define and scope an advanced analytics or data science project to fit the needs of a community partner. 2. Apply appropriate industry standard analytics ideas, methodologies, and tools. 3. Create value, insight, and knowledge using data science skills and principles. Prerequisites: Instructor Permission required.
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