출결 및 과제 점검표

학번:20806830

이름:이재형

주	출석 (해당일)	지각 (해당주)	결석 (그 이후)	과제	비고
1주(9/1)	○				수강정정기간
2주(9/8)					추석
3주(9/15)	○
4주(9/22)	○
5주(9/29)	○
6주(10/6)	○
7주(10/13)	○
8주(10/20)	○				중간고사
9주(10/27)	○
10주(11/3)	○
11주(11/10)	○
12주(11/17)					휴강
13주(11/24)	○
14주(12/1)	○
15주(12/8) (보강)	○
16주(12/15)	○				기말고사
계	14/14

<각 주별 강의요약 첨부>

1주차(9/1)

Orientation

2주차(9/8)

추석

3주차(9/15)

We have to use a lot of data to make predict the future.

The analysis model has eight steps to gain good 'Plan'.

at first, 'Problem diagnosis'. second, 'Goal setting'. third 'Prediction and projection'.

fourth, Alternative plan'. fifth, 'Feasibility analysis'. sixth, 'Evaluation' seventh, 'Choice final plan'. lastly, 'execution'.

if we can go through well such this each processes, than we can achieve 'Policy goal'.

4주차(9/22)

Models

We can say that our  fundamental goal is get better life. If we want to get better life, than we study more than eight hours.

Our study needs go through planned course. and 'Model' can make it this course comfortably.

Model is made up by subject, function, theory and method. and  Model include 'Abstract model' and 'Physical model'. Abstract model can subdivide by three model. 'Descriptive model', 'Forecasting model' and 'Plan model'.

Statistics

1.collecting data 2.preseting data 3.characterizing data

Statistics can data analysis to decision-making.

Statistics use on Economics, Engineering, Sports and Business part.

5주차(9/29)

We have to seek better life than before day after day. that makes difference from animals and human being.

In forecasting the future, we should use the data by logically. not fortune or sense.

in 'do the best.', also important that choosing ways and direction.

'Knowledge' is important that not only 'just knowing', but also 'express the knowledge on digital.

We can use a programs like 'STATA' that we study in class, for make digital data.

6주차(10/6)

The current level of our, we have the opportunity to write what we know. however, we don't have the opportunity to speech what we know. but speeching is more importantly than writing.

When we studying, It's better studying after looking at the overall big picture, than concentrating in one portion. also we can have more interest, when learning theory with real case than just learning theory.

Students almost take on a passive attitude. but we need active attitude to preparing the social life.

7주차(10/13)

sampling distribution

It‘s possible to increase the accuracy more samples.

‘sampling distribution’ have Purpose that ‘Make Decisions about Population Characteristics’

Planning Theory

We make the ‘Plan’ to prepare the future.

It is important not only ‘Planning’ but also ‘Action’ and ‘Trying’.

It makes the difference to human and animals.

diversification society is going to ‘Better Society’. and it can makes by efficiency and equity.

8주차(10/20)

1st Exam 중간고사

9주차(10/27)

A hypothesis (plural hypotheses) is a proposed explanation for a phenomenon. For a hypothesis to be a scientific hypothesis, the scientific method requires that one can test it. Scientists generally base scientific hypotheses on previous observations that cannot satisfactorily be explained with the available scientific theories. Even though the words "hypothesis" and "theory" are often used synonymously, a scientific hypothesis is not the same as a scientific theory. A working hypothesis is a provisionally accepted hypothesis proposed for further research.

10주차(11/3)

we can succeed in own independent field with constant trying. successful study can make by steady trying. not the natural talent.

Planning Theory is a quarterly peer-reviewed academic journal that covers the field of city planning and land development. The editor-in-chief is Michael Gunder (University of Auckland) . The journal was established in 2002 and is published by Sage Publications.

Planning Theory provides an invaluable outlet for scholars who are interested in theoretical issues, whether they be debates around sustainability, or justice, or difference, or ethics, or power and knowledge.

11주차(11/10)

regression model

In statistics, regression model is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables

Urban planning

Urban planning is a technical and political process concerned with the use of land and design of the urban environment, including air and water and infrastructure passing into and out of urban areas such as transportation and distribution networks.

Urban planning guides and ensures the orderly development of settlements and satellite communities which commute into and out of urban areas or share resources with it. It concerns itself with research and analysis, strategic thinking, architecture, urban design, public consultation, policy recommendations, implementation and management.

12주차(11/17)

휴강

13주차(11/24)

In statistics a sampling distribution or finite-sample distribution is the probability distribution of a given statistic based on a random sample. Sampling distributions are important in statistics because they provide a major simplification en route to statistical inference. More specifically, they allow analytical considerations to be based on the sampling distribution of a statistic, rather than on the joint probability distribution of all the individual sample values.

The sampling distribution of a statistic is the distribution of that statistic, considered as a random variable, when derived from a random sample of size n.

It may be considered as the distribution of the statistic for all possible samples from the same population of a given size.

The sampling distribution depends on the underlying distribution of the population, the statistic being considered, the sampling procedure employed, and the sample size used.

14주차(12/1)

Simple linear regression

In statistics, simple linear regression is the least squares estimator of a linear regression model with a single explanatory variable. In other words, simple linear regression fits a straight line through the set of n points in such a way that makes the sum of squared residuals of the model (that is, vertical distances between the points of the data set and the fitted line) as small as possible.

The adjective simple refers to the fact that this regression is one of the simplest in statistics. The slope of the fitted line is equal to the correlation between y and x corrected by the ratio of standard deviations of these variables. The intercept of the fitted line is such that it passes through the center of mass x, y of the data points.

15주차(12/8)

Language can learn in usual day. not in study.

In statistics, linear regression is an approach for modeling the relationship between a scalar dependent variable y and one or more explanatory variables denoted X. The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression. This term should be distinguished from multivariate linear regression, where multiple correlated dependent variables are predicted, rather than a single scalar variable.

In linear regression, data are modeled using linear predictor functions, and unknown model parameters are estimated from the data. Such models are called linear models.

16주차(12/15)

Final Exam