수업 진행
- 그룹 스터디는 2시간 수업 및 1시간 시험으로 진행 됩니다. (수업료는 2시간)
- 매 수업 이 후 시험을 보고, 시험을 본 뒤 그루미 TA가 채점을 하여 학생들에게 전달을 합니다.
- 전달 때 제가 촬영한 video solution 이 같이 보내지게 됩니다.
- 수업 curriculum 내용은 다음과 같습니다: https://drive.google.com/drive/folders/17jow1V4DRwZorfEqCZJ7LiHjvzadyDes
 
수업 교재
Haese Publication
Oxford Publication
Cambridge Publication
IBID Publication
Pearson Publication
| 
			 수업날짜  | 
			
			 수업 내용  | 
		
| 
			 Lesson 1  | 
			
			 Function & Equations: Mastering Sketching to solve equations and Inequalities  | 
		
| 
			 Lesson 2  | 
			
			 Sequence and Series, BInomial Expansion, Proof by Induction (I) : Discrete properties of Mathematics.  | 
		
| 
			 Lesson 3  | 
			
			 Trigonometry: Measuring sector area of every circular shape and solving equations with advanced identities  | 
		
| 
			 Lesson 4  | 
			
			 Calculus I: DIfferentiation. How to differentiate all types of functions and its applications to analyze shapes, related rates and optimization  | 
		
| 
			 Lesson 5  | 
			
			 Calculus II: Integration. How to distinguish a method to integrate for certain functions. Learning the application of integration with area, volume and kinematics  | 
		
| 
			 Lesson 6  | 
			
			 Complex I: Learning 3 different forms of complex to work out coordinates and exact angles Induction II: How to apply induction for fields of calculus, trigonometry and complex  | 
		
| 
			 Lesson 7  | 
			
			 Complex II: Proving and Applying De Moirvre’s Theorem for angles, values and integration. Roots of unity with the sum and product of roots, as well as Fundamental Theorem of Algebra  | 
		
| 
			 Lesson 8  | 
			
			 Vector: Learning Lines and Planes, Measuring angles and distances. How to create a vector equations with given information, application with kinematics  | 
		
| 
			 Lesso 9  | 
			
			 Probability: 7 Essential Laws of probability and proving independence. Conditional probability as well as Bayes THeorem  | 
		
| 
			 Lesson 10  | 
			
			 Statistics: Distinguishing Discrete and Continuous Random Variables, learning statistics parametres such as Expected Value and Variance. Learning key distributions as well combining them together.  | 
		
토픽 소개영상
Topic 1: https://www.youtube.com/playlist?list=PLsjBBv_PS6oG1XbVCnOPoGFGpH_DraDBC
Topic 2: https://www.youtube.com/playlist?list=PLsjBBv_PS6oHZrag13GcMwlzF1xkKT0jL
Topic 3: https://www.youtube.com/playlist?list=PLsjBBv_PS6oHqIxKWyIxxTTy_9Yj-Iv_K
Topic 4: https://www.youtube.com/playlist?list=PLsjBBv_PS6oEvnRbVBtYCXL_0SJKF2gBq
Topic 5 (Probability): https://www.youtube.com/playlist?list=PLsjBBv_PS6oEvnRbVBtYCXL_0SJKF2gBq
Topic 5: https://www.youtube.com/playlist?list=PLsjBBv_PS6oGgB7DwmSs3PPD2m0K7GHTt Topic 6: https://www.youtube.com/playlist?list=PLsjBBv_PS6oFQ05anxeaxQGNfhFpT25pB
*Detailed curriculum is written by the following link: https://drive.google.com/open?id=17jow1V4DRwZorfEqCZJ7LiHjvzadyDes Please visit and state the contents you want to cover.