2 項進行中

115-1 選課時程

進行中

  • 初選第一階段 6/15 – 6/18
  • 初選第二階段 6/22 – 6/25
  • 校際選修 進行中 8/24 – 9/18
  • 初選第三階段 8/31 – 9/3
  • 開學後加退選 進行中 9/7 – 9/21
  • 逾期加退選 9/21 – 9/24
選課資源

加入行事曆

選擇訂閱 Google Calendar,或下載通用的 ICS 檔案。

使用 Google Calendar 時,Google 會收到這份課表的公開連結。

智慧數據分析

Smart Data Analytics

學期
112-2
學分
0 學分
當期課號
537716
永久課號
MGIF30099
開課單位
資訊管理與財務金融系財務金融碩博士班
授課教師
K.、W.、Hardle
校區
光復
類別
選修
上課時間表
週一
2
09:00–09:50
智慧數據分析
M102(光復)
3 節連堂
3
10:10–11:00
4
11:10–12:00

* 根據陽明交大上課時間表所列

概述

The evolution from analogue to digital technologies continues to dominate the attention of decision makers today. Many tools in industrial production processes have been automated or replaced by highly complex mechanisms with pre‐programmed decision making. The change to digital modes of operations increasingly determines the lives of individuals and does so in increasingly unexpected ways. The SDA course presents tools and concepts for unstructured data with a strong focus on applications and implementations. It presents the decision analytics in a way that is understandable for non‐mathematicians and practitioners who are confronted with day to day number crunching statistical data analysis. All practical examples may be recalculated and modified: software and Quantlets are in www.quantlet.de. The SDA course endows the practitioner with ready to use practical tools for smart data analytics from quantinar.com The students get insight into the area of modern internet based Computational Statistics Methods. Practically relevant knowledge on methods, data forms and Gestalt will be trained. The use of GITHUB and network techniques will be taught. Direct computer oriented knowledge and possibilities of empirical research will be shown. We present hands on practical examples from finance, Crypto currencies and network analysis.

先修科目

Multivariate Statistical Analysis, basic understanding of statistics, mathematics and finance

備註

無備註

教學方式

教師未提供此項資料

評分方式

教師未提供此項資料

課程大綱

教師未提供此項資料

週次計畫
週次主題
第 1 週

Introduction

2024-02-19(一)
第 2 週

Unit_1 „Fitting an Elephant“ LDA on text corpus Text mining on DPs

2024-02-26(一)
第 3 週

Unit_1 „Fitting an Elephant“ LDA on text corpus Text mining on DPs

2024-03-04(一)
第 4 週

FRM Financial Risk Meter Word2Vec GloVe BERT Word Embeddings t-SNE and UMAP VizTech

2024-03-11(一)
第 5 週

FRM Financial Risk Meter Word2Vec GloVe BERT Word Embeddings t-SNE and UMAP VizTech

2024-03-18(一)
第 6 週

Understanding Cryptocurrencies NFTs and VizTech MST Minimum Spanning Tree LLE Local Linear Embedding

2024-03-25(一)
第 7 週

Understanding Cryptocurrencies NFTs and VizTech MST Minimum Spanning Tree LLE Local Linear Embedding

2024-04-01(一)
第 8 週

Machine learning tools Network Centrality

2024-04-08(一)
第 9 週

Machine learning tools Network Centrality

2024-04-15(一)
第 10 週

(Generalised) Random Forests Neural Networks

2024-04-22(一)
第 11 週

(Generalised) Random Forests Neural Networks

2024-04-29(一)
第 12 週

LSTM Long Short Term Memory ICA Independent Component Analysis

2024-05-06(一)
第 13 週

LSTM Long Short Term Memory ICA Independent Component Analysis

2024-05-13(一)
第 14 週

CRIX CRypto currency IndeX

2024-05-20(一)
第 15 週

CRIX CRypto currency IndeX

2024-05-27(一)
第 16 週

Final exam

2024-06-03(一)
教科書

教師未提供此項資料

Office Hours
地點
By appointment
時間
By appointment
聯絡方式
Wolfgang Karl Härdle Humboldt-Universität zu Berlin haerdle@hu-berlin.de