Civil Engineering (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

General course introduction information

Course Code:

CE443

Course Name:

Foundation Engineering

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	9

Language of instruction:

Course Requisites:

CE303 - Soil Mechanics - I

Does the Course Require Work Experience?:

Type of course:

Compulsory

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi SAEİD ZARDARİ

Course Lecturer(s):

Dr.Öğr.Üyesi HOSSEIN ZORIYEH ALIGHOLI
Dr.Öğr.Üyesi SAEİD ZARDARİ

Course Assistants:

Course Objective and Content

Course Objectives:

To teach students how to apply the engineering behavior of the soil they learned in the Soil Mechanics course in the basic design.

Course Content:

Soil classification and mechanical properties of soils, Stress and effective stress in soils, Field drilling and field experiments in foundation engineering, Types of foundations, Bearing capacity of soils, Bearing capacity of centrally loaded shallow foundations, Terzaghi and Meyerhof's theory of bearing capacity, Eccentrically loaded foundations, Bidirectional Eccentricity, Strip and Raft foundations, Deep Foundations

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Produce a proposal to address identified geotechnical weaknesses and problems.
2) II. To provide information about field drilling and field tests and to calculate the bearing capacity of the foundation soil
3) III. Analysis and design of eccentric foundations
4) IV. Analysis and design of asymmetric foundations
5) V. Analysis and design of strip and raft foundations
6) VI. Analyze and design deep foundations and to examine the effect of group piles.
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Soil Mechanics and General Introduction	“Principles of Foundation Engineering”, B.M. Das
2)	Stress in soils and effective stress	“Principles of Foundation Engineering
3)	Introduction to Foundation Engineering and Types of Foundations	“Principles of Foundation Engineering”, B.M. Das
4)	Field Drilling and Field Experiments in Foundation Engineering-1	“Principles of Foundation Engineering”, B.M. Das
5)	Bearing Capacity of Soils	“Principles of Foundation Engineering”, B.M. Das
6)	Bearing Capacity in Central Loaded Shallow Foundations	“Principles of Foundation Engineering”, B.M. Das
7)	Traditional and Meyerhof's Method for Eccentric Loaded Foundations
8)	Bidirectional Eccentricity	“Principles of Foundation Engineering”, B.M. Das
9)	Midterm Exam	“Principles of Foundation Engineering”, B.M. Das
10)	Asymmetric Foundations	“Principles of Foundation Engineering”, B.M. Das
11)	Strip and raft foundations	“Principles of Foundation Engineering”, B.M. Das
12)	Deep Foundations	“Principles of Foundation Engineering”, B.M. Das
13)	Pile Foundations
14)	Group Piles and Group Pile Effect	“Principles of Foundation Engineering”, B.M. Das

Sources

Course Notes / Textbooks:	“Principles of Foundation Engineering”, B.M. Das, 7th Edition, Cengage Learning, 2010.
References:	“Foundation Design, Principles and Practices”, D.P. Coduto, Prentice-Hall Publishers, 2nd Edition, 2001.

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4	5	6
Program Outcomes
1) Knowledge of mathematics, science, basic engineering, computational engineering, and subjects specific to the engineering discipline; the ability to use this knowledge in solving complex engineering problems.
2) Ability to identify, formulate and analyze complex engineering problems using fundamental knowledge of science, mathematics, and engineering, while considering UN Sustainable Development Goals.
3) Ability to design creative solutions to complex engineering problems; the skill to design complex systems, processes, devices, or products considering realistic constraints and conditions.
4) Ability to select and use appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, for analyzing and solving complex engineering problems.
5) Ability to use research methods to investigate complex engineering problems, including literature research, experimental design, experimentation, data collection, analysis and interpretation.
6) Ability to work effectively individually and as a member or leader in intra‑disciplinary and multi‑disciplinary teams (face‑to‑face, remote, or hybrid).
7) Ability to communicate effectively on technical topics verbally and in writing, considering various differences (education, language, profession) of the target audience.
8) Lifelong learning ability, encompassing the capacity to learn independently and continuously, to adapt to new and emerging technologies, and to think critically about technological changes.
9) Acting according to engineering professional principles; knowledge of ethical responsibility and awareness of inclusive and non‑discriminatory behavior.
10) Knowledge about business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.
11) Knowledge about the impacts of engineering practices on society, health and safety, economy, sustainability and environment, while considering UN Sustainable Development Goals; awareness of legal implications of engineering solutions.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Knowledge of mathematics, science, basic engineering, computational engineering, and subjects specific to the engineering discipline; the ability to use this knowledge in solving complex engineering problems.
2)	Ability to identify, formulate and analyze complex engineering problems using fundamental knowledge of science, mathematics, and engineering, while considering UN Sustainable Development Goals.	5
3)	Ability to design creative solutions to complex engineering problems; the skill to design complex systems, processes, devices, or products considering realistic constraints and conditions.
4)	Ability to select and use appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, for analyzing and solving complex engineering problems.
5)	Ability to use research methods to investigate complex engineering problems, including literature research, experimental design, experimentation, data collection, analysis and interpretation.
6)	Ability to work effectively individually and as a member or leader in intra‑disciplinary and multi‑disciplinary teams (face‑to‑face, remote, or hybrid).
7)	Ability to communicate effectively on technical topics verbally and in writing, considering various differences (education, language, profession) of the target audience.
8)	Lifelong learning ability, encompassing the capacity to learn independently and continuously, to adapt to new and emerging technologies, and to think critically about technological changes.
9)	Acting according to engineering professional principles; knowledge of ethical responsibility and awareness of inclusive and non‑discriminatory behavior.
10)	Knowledge about business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.
11)	Knowledge about the impacts of engineering practices on society, health and safety, economy, sustainability and environment, while considering UN Sustainable Development Goals; awareness of legal implications of engineering solutions.

Learning Activity and Teaching Methods

Lesson
Problem Solving

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Observation

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Attendance	1	% 10
Quizzes	1	% 10
Midterms	1	% 30
Final	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	9	126
Homework Assignments	4	20	80
Quizzes	4	1	4
Midterms	1	2	2
Final	1	2	2
Total Workload			256