Sample Thesis Proposal

Topics: University, Academic degree, Doctorate Pages: 7 (2504 words) Published: September 20, 2011
My thesis proposal - Document Transcript
1. Taguig City Universityl of Computer ScienceDepartment of Computer and Information Science Routing Slip Student: Truong Quoc Hung Degree: Master of Science Program: Applied Mathematics and Computer Science Thesis: IU Advise-A web based advising tool for academic advisors and students Dated: March 2, 2009 Hossein Hakimzadeh, Ph.D. Liguo Yu, Ph.D. Michael R Scheessele, Ph.D. Yu Song, Ph.D. 2. IU ADVISE-A WEB BASED ADVISING TOOL FOR ACADEMIC ADVISORS AND STUDENTS Truong Quoc Hung Abstract Academic advising is an important activity of an academic institution. It guides the students to explore the potential careers, academic disciplines and opportunities in the college environment. An accurate and full featured advising system can be an effective tool to both students and faculty advisors. The dynamic nature of academic programs, especially in regards to the changes in the general education and other degree requirements, poses a continuous challenge to faculty advisors to remain up-to-date. The goal of this thesis is to implement a web-based advising system which facilitates academic advisors in their efforts to providing quality, accurate and consistent advising services to their students. The proposed system will be implemented using a set of open source software packages to create a low cost, flexible, customizable, and consistent system. 3. Contents 1. Introduction 1 2. Literature Review 3 3. Proposed Solution 6 3.1. Data Model 6 3.2. Process Model 7 4. Requirements 9 5. Expected Outcome 10 5.1. Advisor User Interface 10 5.2. Student User Interface 10 6. Conclusion 12 Bibliography 13 ii DRAFT: March 2, 2009 4. 1. Introduction The main objective of academic advising is to guide, motivate and support students to explore their po- tientials and make precise academic choices in order to satisfy the students’ needs and comply with academic policies [1]. To achieve these objectives, IU South Bend employs the direct communication between advisors and students as the main advising system. Advisors are typically faculty or professional advisors employed by an academic unit. A normal advising session consists of meetings between an advisor and a student. On the basis of these meetings, the student makes decisions about class schedules, choosing an academic major or minor, planning for graduation and many other academic related activities. These important decisions are made based on the information about previously completed courses, degree requirements, academic poli- cies, and offered courses in the upcoming semester provided by advisors balanced against the student’s work schedule and other interests or commitments. The current academic advising system, however, has encountered some problems [2]. Among other issues, there are some noticable points. First, since the academic advisors are major and comprehensive resources for students to utilize, they need to spend time understanding and updating their knowledge about degree requirements and academic policies as well as familiarizing themselves with students’ progress toward aca- demic degrees prior to any advising period. This is a time-consuming task for any advisor especially when students far outnumber the advisors. Second, a faculty advisor may not keep up with new academic policies, new programs or new degree requirements as they may have several duties during a advising period adding to the difficulties in updating information. This situation can lead to inconsistent information among advisors. Third, most of the time, advisors answer recurrent questions about trivial class scheduling. In fact, these questions could be answered easily by students themselves, if useful information about class schedules and previously completed courses is available and easy to access. Accordingly, there should be a tool for helping students to take advantage of authorized part of academic information before coming to their advisors. Fi- nally,...

Bibliography: 13 ii DRAFT: March 2, 2009
9. 3. Proposed Solution 3.1. Data Model Figure 3.1 shows the database structure for the proposed system. Figure 3.1. ER Diagram of IU Advisee 6 DRAFT: March 2, 2009
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