Introduces students to the tools and techniques necessary for effective decision-making in business organizations operating in a complex and dynamic environment. Prerequisites: MATH 019 or MATH 021 with a minimum grade of C-; STAT 141 or STAT 143 or EC 170 with a minimum grade of C-; or PSYS 053 with a minimum grade of C- and PSYS 054 with a minimum grade of C-; Business Administration, Computer Science and Information Systems, and Engineering Management majors; Business Administration Minor; Minimum Sophomore standing.
Prereqs enforced by the system: MATH 019 or MATH 021 and STAT 141 or STAT 143 or EC 170 or PSYS 053 and 054; Minimum Sophomore standing; BSAD, CSIS, EMGT majors or BSAD minors only; Required course specific fee of $25; Open to Degree and CDE Students.
BSAD 30 is an introductory Decision Analysis / Quantitative Methods course for undergraduates. The goals of this class are to provide students with an understanding of the role quantitative methods play in the decision-making process, to increase their awareness and understanding of different types of problems and solution approaches common in business, improve their decision-making and critical thinking skills, and to improve their quantitative and analytical problem solving abilities. BSAD 30 is required for all business students and mirrors the undergraduate quantitative methods courses taught at other universities. This is a mathematical course and requires students to practice setting up and solving different types of problems. Topics include: 1) basic models of revenue, cost, and profit, 2) a refresher on statistical experiments and sample space and the use of basic descriptive statistics, 3) discrete and continuous random variables and different probability distributions, 4) decision analysis with and without probabilities, 5) setting up, solving, and interpreting basic linear programming models graphically and using MS Solver (software), 5) sensitivity analysis, 6) supply chain / transportation problems (assignment, shortest-path, transshipment), 7) simple and multiple linear regression, 8) time series analysis and forecasting, and 9) scheduling techniques such as PERT/CPM.
This class follows a remote synchronous modality. This means that class lectures will occur twice a week during the scheduled class meeting time and students are expected to attend all classes in MS Teams and to be on time and present/participating. You must have a reliable computer and internet connection throughout the semester. You cannot successfully complete this class without these things. As the class is remote, being comfortable using your computer to take tests or quizzes is essential. This is not an appropriate class section for you if you struggle with remote learning (there are in-person sections) or if you have a job or some other conflict that prevents you from attending class during the regularly scheduled class meeting times. Tests will take place during the scheduled class meeting times and class attendance and participation in problem solving exercises during class is important to your success. I strongly recommend that students take notes during class. It is part of the learning process. I do not give out my class notes or record lectures, as this defeats the purpose of coming to class and taking notes. I understand people miss classes for a variety of reasons. Even if you have a valid reason for missing class such as a family emergency, you are sick, you have a job interview, etc., you are still responsible for all the material covered during the class that you miss. Please let the Student Services staff and me know immediately if there are unusual / extraordinary issues such as a major illness / injury or extended hospital stay. I will work directly with Student Services to handle with these situations on an individual basis. IF YOU MISS CLASS for ANY reason PLEASE CHECK THE COURSE SCHEDULE on Blackboard to see what we covered during class. Students are responsible for all material covered during any missed class and are responsible for keeping up with all lecture material, reading, and HW. The schedule summarizes the material covered each week, reading, HW due dates, and test dates. You should check the site frequently to make sure that you are up-to-date with the reading, class notes, and class activities. If you miss class, you should coordinate with a classmate to make sure that you have the notes. The class moves quickly and there is a fair amount of material. Inconsistent attendance and/or waiting until assignments or tests are due to attempt to learn material is not a good way to approach the class. This class requires effective time management and individual effort (reading, following lecture notes, problem solving, and experimenting with Excel and Solver without my direct guidance). The class has an individual focus as opposed to a group or team focus. Students should practice solving problems on their own and are expected to do so for the tests. The class will require out of class work. We will be using MS Excel (with the Solver advanced add-in) extensively in this class. Your grade will depend, in some part, on a level of proficiency with this software. Students must have a computer that can run Excel with Solver. GSB faculty use Windows laptops and desktops. When I teach, I will be using the Windows interface and the Microsoft Office Suite (Word, Excel, Access, Visio, etc.). MACs run a version of Excel that is similar to the Windows version, but it is not identical. Please note that I cannot help resolve MAC-related Excel questions, as I do not have a MAC. I will certainly try to help, but not having the proper software installed or not being able to effectively use Excel is not an excuse for not getting work done (tests or HW). Prerequisites include BSAD 40, MATH 019 (or MATH 021), STAT 141.
I will be using two software portals for evaluation: 1) CNOW through the Cengage portal for HW (this is the book publisher’s portal), and 2) UVMs Blackboard portal for the schedule, lecture notes, and tests. You must be able to complete timed tests that are administered through Blackboard to succeed in this class. • Online homework (one drop) 7% • Exam #1 21% • Exam #2 21% • Exam #3 21% • Comprehensive Final Exam 30% 100% GRADING SCALE: A+: 97 above B+: 87-89 C+: 77-79 D+: 67-69 F: 59 below A: 93-96 B: 83-86 C: 73-76 D: 63-66 A-: 90-92 B-: 80-82 C-: 70-72 D-: 60-62
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to on Monday and Wednesday
Note: These dates may not be accurate for select courses during the Summer Session.
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