MK496 MARKETING MANAGEMENT Course Syllabus - Amy Robinson, MBA

Term
Fall 2026
Section
M1
Course Delivery
ln person­[FTF]
Class Program
Credits 4.00
This capstone marketing course will challenge students to apply the same marketing models, theories, concepts, practices (e.g. teamwork, critical thinking) and financial analyses that marketing managers use to make decisions in actual business situations. The format of the course will be discussion and lecture-based emphasizing case studies including topics such as branding, pricing, new product development and diffusion, electronic commerce, sales force management, competitive strategy, business-to-business, and not-for-profit marketing.
Prerequisites
EN101 or EN103H, MK230 plus one other MK course

Meeting Times, Location, & Course Delivery Details

Meeting Days:
T
Meeting Times:
6pm - 9pm
Location:
CH 301
Delivery Details

Course Format: Face-to-Face
This course is taught in face-to-face. You will attend class in the physical classroom during the regularly scheduled day/time. You will be expected to attend class, participate in in-class activities, and independently complete homework outside of class by assigned due dates

Contact Information

Instructor:
Amy Robinson, MBA
Instructor Email:
amy.robinson@wilmington.edu
Office Location:
Bailey 103
Phone Number
937-481-2413
Office Hours:
T, TH 9-11am T 5-6pm
Course Materials

Marketing Management, 6th Edition

Dawn Iacobucci, MINDTAP

Instructor's Course Objectives

This intensive writing class will examine the importance of marketing management, and how marketers form relationships with the consumer. This is done by identifying customer needs and trying to then create solutions that ultimately lead to profits for companies. In addition, through a series of reading and writing assignments, students will reflect on and gain a better understanding of the various elements of marketing and how it can drive consumer relationships.

The goal of this course is to focus on key topics regarding marketing management. This will include elements such as market segmentation and how marketers then target these markets. In addition, the course will include the importance of product positioning and what product positioning entails from the 3 P’s (Price, Place, and Promotion) to consumer satisfaction.

Course Schedule

Tentative Schedule

Subject to change during the semester. Adequate notice of changes will be given.

Week 1 Class introduction and Chapter 1

Week 2 Chapter 2

Week 3 Chapter 3

Week 4 Chapter 4

Week 5 Chapter 5

Week 6 Chapter 6

Week 7 Chapter 7

Week 8 Chapter 8

Week 9 Chapter 9

Week 10 Chapter 10

Week 11 Chapter 11

Week 12 Chapter 12

Week 13 Chapter 13

Week 13 Chapter15

Week 14 Chapter 16

Week 15 Review

Course Assignments
  1. Weekly Writings: 2 page maximum (20% of grade)
  2. Paper: 8 Page Minimum (30% of grade)
  3. Exams : Course content (25% of grade)
  4. Quizzes : Course content (15% of grade)
  5. Attendance & Participation (10% of grade)
Course Final Exam
December 15 6-8pm
Evaluation of Work

The grading scale will be as follows:

90%-100% A

80% - 89% B

70% - 79% C

60% - 69% D

below 60% F

Instructor Course Policies

Instructor's Course Attendance Policy

Attendance is MANDATORY. You can be assured that you will be missing valuable information if you choose to miss class. In addition, I may occasionally have in class assignments that CANNOT be made up. Therefore, it is in your best interest to attend class regularly. I will not specifically be taking attendance each class. However, should you choose to miss class on a regular basis, you can be certain it will not only be reflected in your performance on the exams and assignments, but it will also be reflected in the class participation/attendance portion of your grade.

Should you have to miss class, please inform me BEFORE if you know you will be missing a class. You will not be able to make up work after the missed absence. All work must be submitted prior to the absence (this includes, but is not limited to tests and quizzes). If you are an athlete, it is your responsibility to provide me with your schedule ahead of time (this means not an hour before you have to leave). I understand that at times emergencies prevent you from attending class. These instances will be handled on a case by case basis.

See the current student handbook for the college’s attendance policy, especially as it pertains to absenc

Instructor's Academic Integrity Policy

Students are expected to maintain high standards of academic integrity in all work for this course. Plagiarism and/or cheating of any form (including using AI) will NOT be tolerated. Dishonesty in any work may result in a grade of F for the course. The use of AI is prohibited in this course. Plagiarism is a form of academic dishonesty that may result in the same penalty. In cases of mitigating circumstances, the instructor may assign a lesser penalty.

Institutional and Program-Level Policies

Final Exam Schedule
All exams will follow the Final Exam Schedule. Students scheduled to take three or more final examinations on one day may request to arrange their examination schedule, so no more than two exams occur on one day.
Requests for early or late exams are considered only under extreme circumstances. Prior to the exam period, the student must file a written request on the Early/Late Exam Form available in the Student One Stop Center, Academic Records, and on the WC portal. The form must be signed by the Instructor and the Academic Dean, approving the alternate exam time. This process must be completed prior to the scheduled exam period.

Undergraduate:  FA26 Final Exam Schedule    

 

Out-of-class Work Expectation

A minimum of 2 hours of out-of-class student work is expected for each hour of in-class time for traditional face-to-face courses. For online and hybrid courses, the combination of face-to-face time and out-of-class work should be equal to 3 hours per credit hour per week.

Instructional Course Delivery                                                                                                            

Definition of Courses

Academic Integrity Policy

The use of generative AI is prohibited except where expressly allowed in assignment instructions.

Academic Integrity Policy

Class Attendance Policy                              

Institutional Class Attendance Policy