ECTS - Construction Scheduling and Cost Control
Construction Scheduling and Cost Control (CE464) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Construction Scheduling and Cost Control | CE464 | Area Elective | 3 | 0 | 0 | 3 | 6 |
| Pre-requisite Course(s) |
|---|
| CE399 |
| Course Language | English |
|---|---|
| Course Type | Elective Courses |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Question and Answer, Problem Solving. |
| Course Lecturer(s) |
|
| Course Objectives | To provide students with fundamental knowledge and practical skills in construction project scheduling and cost control. It introduces planning techniques, network-based methods, resource allocation strategies, and computer applications used in managing construction projects effectively. |
| Course Learning Outcomes |
The students who succeeded in this course;
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| Course Content | Introduction and some advanced studies in a computer application like MS Project, extensively used for construction scheduling and cost control; time extension clauses in international construction contracts; cause-effect relationship to prove construction claims. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Historical review of the development of management science in construction, organization types, planning function, executive function, communication. | Lecture notes |
| 2 | Historical review of the development of management science in construction, organization types, planning function, executive function, communication. | Lecture notes |
| 3 | Principles of Gantt charts, advantages and disadvantages of using Gantt charts, types of Gantt charts. | Lecture notes |
| 4 | Network analysis, historical background, advantages/disadvantages of using network analysis, network logic. | Lecture notes |
| 5 | Preparation of arrow diagrams, dummy activities, forward and backward pass calculations. | Lecture notes |
| 6 | Calculation of floats, network time calculations, Critical Path Analysis (CPM), analyzing the network. | Lecture notes |
| 7 | Network compression. | Lecture notes |
| 8 | Network compression. | Lecture notes |
| 9 | Network compression. | Lecture notes |
| 10 | Resource allocation by networks. | Lecture notes |
| 11 | Resource allocation by networks. | Lecture notes |
| 12 | Precedence diagrams, implementation problems in the construction industry. | Lecture notes |
| 13 | Introduction to project planning software | Lecture notes |
| 14 | Introduction to project planning software. | Lecture notes |
| 15 | Practical applications and future potential for development in the construction planning sector | Lecture notes |
| 16 | Final Exam |
Sources
| Course Book | 1. Derste dağıtılan not ve dokümanlar/Lecture Notes and Course Handouts |
|---|---|
| Other Sources | 2. Construction Project Scheduling and Control, Saleh Mubarek, Pearson-Prentice Hall, 2005 |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | 2 | 5 |
| Homework Assignments | 2 | 5 |
| Presentation | - | - |
| Project | 1 | 10 |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 2 | 50 |
| Final Exam/Final Jury | 1 | 30 |
| Toplam | 8 | 100 |
| Percentage of Semester Work | 50 |
|---|---|
| Percentage of Final Work | 50 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Engineering Knowledge: Knowledge of mathematics, science, fundamental engineering, computational sciences, and related engineering disciplines; the ability to apply this knowledge to solve complex engineering problems. | X | ||||
| 2 | Problem Analysis: The ability to identify, formulate, and analyze complex engineering problems using fundamental scientific, mathematical, and engineering knowledge, considering the relevant UN Sustainable Development Goals. | |||||
| 3 | Engineering Design: The ability to design creative solutions to complex engineering problems; the ability to design complex systems, processes, devices, or products to meet current and future requirements, considering realistic constraints and conditions. | |||||
| 4 | Techniques and Tool Usage: The ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while being aware of their limitations. | |||||
| 5 | Research and Investigation: The ability to use research methods, including literature review, designing experiments, conducting experiments, collecting data, analyzing and interpreting results, to investigate complex engineering problems. | |||||
| 6 | Global Impact of Engineering Applications: Information about the impacts of engineering applications on society, health and safety, the economy, sustainability and the environment within the framework of the UN Sustainable Development Goals; awareness of the legal consequences of engineering solutions. | X | ||||
| 7 | Engineering Ethics: Knowledge of ethical responsibility and adherence to engineering professional principles; awareness of impartiality, lack of discrimination, and inclusivity. | |||||
| 8 | Individual and Teamwork: The ability to work effectively individually and as a team member or leader in interdisciplinary and multidisciplinary teams (face-to-face, on-line, or hybrid). | X | ||||
| 9 | Oral and Written Communication: The ability to communicate effectively orally and in writing on technical topics, considering the diverse differences of the target audience (education, language, profession, etc.). | |||||
| 10 | Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation. | |||||
| 11 | Lifelong Learning: The ability to learn independently and continuously, adapt to new and emerging technologies, and think critically about technological change. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 14 | 3 | 42 |
| Presentation/Seminar Prepration | |||
| Project | 1 | 5 | 5 |
| Report | |||
| Homework Assignments | 2 | 5 | 10 |
| Quizzes/Studio Critics | 2 | 5 | 10 |
| Prepration of Midterm Exams/Midterm Jury | 1 | 15 | 15 |
| Prepration of Final Exams/Final Jury | 1 | 20 | 20 |
| Total Workload | 150 | ||