2015-09-08
How sugar affects the brain - Nicole Avena
source: 2014年1月7日
View full lesson: http://ed.ted.com/lessons/how-sugar-a...
When you eat something loaded with sugar, your taste buds, your gut and your brain all take notice. This activation of your reward system is not unlike how bodies process addictive substances such as alcohol or nicotine -- an overload of sugar spikes dopamine levels and leaves you craving more. Nicole Avena explains why sweets and treats should be enjoyed in moderation.
Lesson by Nicole Avena, animation by STK Films.
The Design Competition Conference – Keynote Panel
source: Harvard GSD 2015年5月14日
Design competitions are increasingly used to procure the design of, well, just about anything. Governments, philanthropies, advocacy organizations, developers, and even celebrities are offering ever-larger awards and visibility for buildings, landscapes, and products, as well as for solutions to complex economic, social, and ecological problems. Competitions can mobilize thousands of talented people across disciplines to creatively tackle pressing challenges in publicized—if not public—settings. They can also be wasteful, less-than-fully transparent, and even exploitative.
The Design Competition Conference will review the state of design competitions today and their impact on competitors, sponsors, design, and the public interest. Using the lens of professional, ethical, business, legal, aesthetic, and public policy perspectives, we’ll ask: do competitions enhance creativity and excellence in the production of built and landscape environments? Do they advance the skills and interests of the designers who participate in the process? Does the public get to participate and benefit? Do they make for better financial outcomes and, if so, for whom? Are they an ethical method for securing design given the mechanics of the process? Do competitions strengthen or weaken the design professions as a whole? Do they identify new talent? These and other questions will emerge through discussion of cases studies and thematic presentations.
Conference Co-Chairs
Jerold S. Kayden | Frank Backus Williams Professor of Urban Planningand Design, Harvard Graduate School of Design
David van der Leer | Executive Director, Van Alen Institute
Panelists
Craig Dykers | Founding Partner, Snøhetta
Francine Houben | Creative Director, Mecanoo
Mohsen Mostafavi | Dean, Harvard Graduate School of Design
Moderator
Cathleen McGuigan | Editor-In-Chief, Architectural Record
Farshid Moussavi, "The Function of Style"
source: Harvard GSD 2015年9月4日
09/03/2015 (Her speech starts from 7:40.)
What is the function of style today? If the 1970s were defined by Postmodernism and the 1980s by Deconstruction, how do we characterize the architecture of the 1990s to the present? Some built forms transmit affects of curvilinearity, others of crystallinity; some transmit multiplicity, others unity; some transmit cellularity, others openness; some transmit dematerialization, others weight. Does this immense diversity reflect a lack of common purpose? Farshid Moussavi will present the third volume in her "Function" series, The Function of Style, alongside projects of her London based firm, FMA, to argue that to see the coherence that underlies the diversity in contemporary architecture, style must be defined differently today, not as a representation but as a source of action through the political potency of affect.
Convex Optimization by Stephen Boyd (Stanford U)
# click the upper-left icon to select videos from the playlist
source: Stanford Last updated on 2014年9月25日
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, gives lectures for the course, Convex Optimization I (EE 364A)
Lecture 1 | Convex Optimization I (Stanford) 1:20:33
Lecture 2 | Convex Optimization I (Stanford) 1:16:51
Lecture 3 | Convex Optimization I (Stanford) 1:17:14
Lecture 4 | Convex Optimization I (Stanford) 1:13:38
Lecture 5 | Convex Optimization I (Stanford) 1:16:10
Lecture 6 | Convex Optimization I (Stanford) 1:09:20
Lecture 7 | Convex Optimization I 1:14:38
Lecture 8 | Convex Optimization I (Stanford) 1:16:30
Lecture 9 | Convex Optimization I (Stanford) 1:16:36
Lecture 10 | Convex Optimization I (Stanford) 1:17:55
Lecture 11 | Convex Optimization I (Stanford) 1:17:03
Lecture 12 | Convex Optimization I (Stanford) 1:16:05
Lecture 13 | Convex Optimization I (Stanford) 1:15:17
Lecture 14 | Convex Optimization I (Stanford) 1:10:12
Lecture 15 | Convex Optimization I (Stanford) 1:16:45
Lecture 16 | Convex Optimization I (Stanford) 1:13:59
Lecture 17 | Convex Optimization I (Stanford) 1:19:25
Lecture 18 | Convex Optimization I (Stanford) 1:16:53
Lecture 19 | Convex Optimization I (Stanford) 1:15:02
Lecture 1 | Convex Optimization II (Stanford) 1:01:37
Lecture 2 | Convex Optimization II (Stanford) 1:07:27
Lecture 3 | Convex Optimization II (Stanford) 1:14:45
Lecture 4 | Convex Optimization II (Stanford) 1:19:03
Lecture 5 | Convex Optimization II (Stanford) 1:15:34
Lecture 6 | Convex Optimization II (Stanford) 1:12:26
Lecture 7 | Convex Optimization II (Stanford) 1:14:15
Lecture 8 | Convex Optimization II (Stanford) 1:11:05
Lecture 9 | Convex Optimization II (Stanford) 1:10:12
Lecture 10 | Convex Optimization II (Stanford) 1:17:28
Lecture 11 | Convex Optimization II (Stanford) 1:16:10
Lecture 12 | Convex Optimization II (Stanford) 1:12:48
Lecture 13 | Convex Optimization II (Stanford) 1:14:41
Lecture 14 | Convex Optimization II (Stanford) 1:12:45
Lecture 15 | Convex Optimization II (Stanford) 1:02:58
Lecture 16 | Convex Optimization II (Stanford) 1:19:17
Lecture 17 | Convex Optimization II (Stanford) 1:17:04
Lecture 18 | Convex Optimization II (Stanford) 1:18:53
source: Stanford Last updated on 2014年9月25日
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, gives lectures for the course, Convex Optimization I (EE 364A)
Lecture 1 | Convex Optimization I (Stanford) 1:20:33
Lecture 2 | Convex Optimization I (Stanford) 1:16:51
Lecture 3 | Convex Optimization I (Stanford) 1:17:14
Lecture 4 | Convex Optimization I (Stanford) 1:13:38
Lecture 5 | Convex Optimization I (Stanford) 1:16:10
Lecture 6 | Convex Optimization I (Stanford) 1:09:20
Lecture 7 | Convex Optimization I 1:14:38
Lecture 8 | Convex Optimization I (Stanford) 1:16:30
Lecture 9 | Convex Optimization I (Stanford) 1:16:36
Lecture 10 | Convex Optimization I (Stanford) 1:17:55
Lecture 11 | Convex Optimization I (Stanford) 1:17:03
Lecture 12 | Convex Optimization I (Stanford) 1:16:05
Lecture 13 | Convex Optimization I (Stanford) 1:15:17
Lecture 14 | Convex Optimization I (Stanford) 1:10:12
Lecture 15 | Convex Optimization I (Stanford) 1:16:45
Lecture 16 | Convex Optimization I (Stanford) 1:13:59
Lecture 17 | Convex Optimization I (Stanford) 1:19:25
Lecture 18 | Convex Optimization I (Stanford) 1:16:53
Lecture 19 | Convex Optimization I (Stanford) 1:15:02
Lecture 1 | Convex Optimization II (Stanford) 1:01:37
Lecture 2 | Convex Optimization II (Stanford) 1:07:27
Lecture 3 | Convex Optimization II (Stanford) 1:14:45
Lecture 4 | Convex Optimization II (Stanford) 1:19:03
Lecture 5 | Convex Optimization II (Stanford) 1:15:34
Lecture 6 | Convex Optimization II (Stanford) 1:12:26
Lecture 7 | Convex Optimization II (Stanford) 1:14:15
Lecture 8 | Convex Optimization II (Stanford) 1:11:05
Lecture 9 | Convex Optimization II (Stanford) 1:10:12
Lecture 10 | Convex Optimization II (Stanford) 1:17:28
Lecture 11 | Convex Optimization II (Stanford) 1:16:10
Lecture 12 | Convex Optimization II (Stanford) 1:12:48
Lecture 13 | Convex Optimization II (Stanford) 1:14:41
Lecture 14 | Convex Optimization II (Stanford) 1:12:45
Lecture 15 | Convex Optimization II (Stanford) 1:02:58
Lecture 16 | Convex Optimization II (Stanford) 1:19:17
Lecture 17 | Convex Optimization II (Stanford) 1:17:04
Lecture 18 | Convex Optimization II (Stanford) 1:18:53
Introduction to Robotics (Oussama Khatib / Stanford U)
# automatic playing for the 16 videos (click the up-left corner for the list)
source: Stanford Last updated on 2014年9月25日
Introduction to Robotics (CS223A) covers topics such as Spatial Descriptions, Forward Kinematics, Inverse Kinematics, Jacobians, Dynamics, Motion Planning and Trajectory Generation, Position and Force Control, and Manipulator Design.
Lecture 1 | Introduction to Robotics 58:12
Lecture 2 | Introduction to Robotics 1:08:11
Lecture 3 | Introduction to Robotics 1:17:11
Lecture 4 | Introduction to Robotics 1:11:54
Lecture 5 | Introduction to Robotics 1:06:36
Lecture 6 | Introduction to Robotics 1:10:35
Lecture 7 | Introduction to Robotics 1:09:14
Lecture 8 | Introduction to Robotics 1:15:11
Lecture 9 | Introduction to Robotics 1:16:03
Lecture 10 | Introduction to Robotics 1:01:34
Lecture 11 | Introduction to Robotics 1:13:41
Lecture 12 | Introduction to Robotics 1:13:37
Lecture 13 | Introduction to Robotics 1:10:11
Lecture 14 | Introduction to Robotics 1:13:15
Lecture 15 | Introduction to Robotics 1:12:25
Lecture 16 | Introduction to Robotics 1:10:14
source: Stanford Last updated on 2014年9月25日
Introduction to Robotics (CS223A) covers topics such as Spatial Descriptions, Forward Kinematics, Inverse Kinematics, Jacobians, Dynamics, Motion Planning and Trajectory Generation, Position and Force Control, and Manipulator Design.
Lecture 1 | Introduction to Robotics 58:12
Lecture 2 | Introduction to Robotics 1:08:11
Lecture 3 | Introduction to Robotics 1:17:11
Lecture 4 | Introduction to Robotics 1:11:54
Lecture 5 | Introduction to Robotics 1:06:36
Lecture 6 | Introduction to Robotics 1:10:35
Lecture 7 | Introduction to Robotics 1:09:14
Lecture 8 | Introduction to Robotics 1:15:11
Lecture 9 | Introduction to Robotics 1:16:03
Lecture 10 | Introduction to Robotics 1:01:34
Lecture 11 | Introduction to Robotics 1:13:41
Lecture 12 | Introduction to Robotics 1:13:37
Lecture 13 | Introduction to Robotics 1:10:11
Lecture 14 | Introduction to Robotics 1:13:15
Lecture 15 | Introduction to Robotics 1:12:25
Lecture 16 | Introduction to Robotics 1:10:14
Linear Dynamical Systems by Stephen Boyd at Stanford University
# click the upper-left icon to select videos from the playlist
source: Stanford Last updated on 2014年9月25日
Introduction to Linear Dynamical Systems (EE263) is the introduction to applied linear algebra and linear dynamical systems, with applications to circuits, signal processing, communications, and control systems. Topics include: Least-squares aproximations of over-determined equations and least-norm solutions of underdetermined equations. Symmetric matrices, matrix norm and singular value decomposition. Eigenvalues, left and right eigenvectors, and dynamical interpretation. Matrix exponential, stability, and asymptotic behavior. Multi-input multi-output systems, impulse and step matrices; convolution and transfer matrix descriptions. Control, reachability, state transfer, and least-norm inputs. Observability and least-squares state estimation. EE263 covers some of the same topics, but is complementary to, CME200.
Lecture 1 | Introduction to Linear Dynamical Systems 1:16:46
Lecture 2 | Introduction to Linear Dynamical Systems 1:05:52
Lecture 3 | Introduction to Linear Dynamical Systems 1:19:11
Lecture 4 | Introduction to Linear Dynamical Systems 1:14:08
Lecture 5 | Introduction to Linear Dynamical Systems 1:15:14
Lecture 6 | Introduction to Linear Dynamical Systems 1:16:19
Lecture 7 | Introduction to Linear Dynamical Systems 1:15:46
Lecture 8 | Introduction to Linear Dynamical Systems 1:15:58
Lecture 9 | Introduction to Linear Dynamical Systems 1:09:02
Lecture 10 | Introduction to Linear Dynamical Systems 1:11:42
Lecture 11 | Introduction to Linear Dynamical Systems 1:08:55
Lecture 12 | Introduction to Linear Dynamical Systems 1:13:37
Lecture 13 | Introduction to Linear Dynamical Systems 1:13:02
Lecture 14 | Introduction to Linear Dynamical Systems 1:17:43
Lecture 15 | Introduction to Linear Dynamical Systems 1:09:01
Lecture 16 | Introduction to Linear Dynamical Systems 1:12:35
Lecture 17 | Introduction to Linear Dynamical Systems 1:16:52
Lecture 18 | Introduction to Linear Dynamical Systems 1:15:14
Lecture 19 | Introduction to Linear Dynamical Systems 1:10:30
Lecture 20 | Introduction to Linear Dynamical Systems 1:09:25
source: Stanford Last updated on 2014年9月25日
Introduction to Linear Dynamical Systems (EE263) is the introduction to applied linear algebra and linear dynamical systems, with applications to circuits, signal processing, communications, and control systems. Topics include: Least-squares aproximations of over-determined equations and least-norm solutions of underdetermined equations. Symmetric matrices, matrix norm and singular value decomposition. Eigenvalues, left and right eigenvectors, and dynamical interpretation. Matrix exponential, stability, and asymptotic behavior. Multi-input multi-output systems, impulse and step matrices; convolution and transfer matrix descriptions. Control, reachability, state transfer, and least-norm inputs. Observability and least-squares state estimation. EE263 covers some of the same topics, but is complementary to, CME200.
Lecture 1 | Introduction to Linear Dynamical Systems 1:16:46
Lecture 2 | Introduction to Linear Dynamical Systems 1:05:52
Lecture 3 | Introduction to Linear Dynamical Systems 1:19:11
Lecture 4 | Introduction to Linear Dynamical Systems 1:14:08
Lecture 5 | Introduction to Linear Dynamical Systems 1:15:14
Lecture 6 | Introduction to Linear Dynamical Systems 1:16:19
Lecture 7 | Introduction to Linear Dynamical Systems 1:15:46
Lecture 8 | Introduction to Linear Dynamical Systems 1:15:58
Lecture 9 | Introduction to Linear Dynamical Systems 1:09:02
Lecture 10 | Introduction to Linear Dynamical Systems 1:11:42
Lecture 11 | Introduction to Linear Dynamical Systems 1:08:55
Lecture 12 | Introduction to Linear Dynamical Systems 1:13:37
Lecture 13 | Introduction to Linear Dynamical Systems 1:13:02
Lecture 14 | Introduction to Linear Dynamical Systems 1:17:43
Lecture 15 | Introduction to Linear Dynamical Systems 1:09:01
Lecture 16 | Introduction to Linear Dynamical Systems 1:12:35
Lecture 17 | Introduction to Linear Dynamical Systems 1:16:52
Lecture 18 | Introduction to Linear Dynamical Systems 1:15:14
Lecture 19 | Introduction to Linear Dynamical Systems 1:10:30
Lecture 20 | Introduction to Linear Dynamical Systems 1:09:25
The Fourier Transforms and its Applications by Brad Osgood (Stanford U)
# click the upper-left icon to select videos from the playlist
source: Stanford Last updated on 2014年9月25日
These are the complete lectures by Professor Brad Osgood for the Electrical Engineering course, The Fourier Transforms and its Applications (EE 261).
The Fourier transform is a tool for solving physical problems. In this course the emphasis is on relating the theoretical principles to solving practical engineering and science problems.
Lecture 1 | The Fourier Transforms and its Applications 52:07
Lecture 2 | The Fourier Transforms and its Applications 52:57
Lecture 3 | The Fourier Transforms and its Applications 50:46
Lecture 4 | The Fourier Transforms and its Applications 52:07
Lecture 5 | The Fourier Transforms and its Applications 52:01
Lecture 6 | The Fourier Transforms and its Applications 47:52
Lecture 7 | The Fourier Transforms and its Applications 47:49
Lecture 8 | The Fourier Transforms and its Applications 50:37
Lecture 9 | The Fourier Transforms and its Applications 54:23
Lecture 10 | The Fourier Transforms and its Applications 54:58
Lecture 11 | The Fourier Transforms and its Applications 50:56
Lecture 12 | The Fourier Transforms and its Applications 52:56
Lecture 13 | The Fourier Transforms and its Applications 49:25
Lecture 14 | The Fourier Transforms and its Applications 54:00
Lecture 15 | The Fourier Transforms and its Applications 52:09
Lecture 16 | The Fourier Transforms and its Applications 49:43
Lecture 17 | The Fourier Transforms and its Applications 41:13
Lecture 18 | The Fourier Transforms and its Applications 51:10
Lecture 19 | The Fourier Transforms and its Applications 52:06
Lecture 20 | The Fourier Transforms and its Applications 52:53
Lecture 21 | The Fourier Transforms and its Applications 52:59
Lecture 22 | The Fourier Transforms and its Applications 51:16
Lecture 23 | The Fourier Transforms and its Applications 51:04
Lecture 24 | The Fourier Transforms and its Applications 57:05
Lecture 25 | The Fourier Transforms and its Applications 53:17
Lecture 26 | The Fourier Transforms and its Applications 53:56
Lecture 27 | The Fourier Transforms and its Applications 49:57
Lecture 28 | The Fourier Transforms and its Applications 49:07
Lecture 29 | The Fourier Transforms and its Applications 50:06
Lecture 30 | The Fourier Transforms and its Applications 47:09
source: Stanford Last updated on 2014年9月25日
These are the complete lectures by Professor Brad Osgood for the Electrical Engineering course, The Fourier Transforms and its Applications (EE 261).
The Fourier transform is a tool for solving physical problems. In this course the emphasis is on relating the theoretical principles to solving practical engineering and science problems.
Lecture 1 | The Fourier Transforms and its Applications 52:07
Lecture 2 | The Fourier Transforms and its Applications 52:57
Lecture 3 | The Fourier Transforms and its Applications 50:46
Lecture 4 | The Fourier Transforms and its Applications 52:07
Lecture 5 | The Fourier Transforms and its Applications 52:01
Lecture 6 | The Fourier Transforms and its Applications 47:52
Lecture 7 | The Fourier Transforms and its Applications 47:49
Lecture 8 | The Fourier Transforms and its Applications 50:37
Lecture 9 | The Fourier Transforms and its Applications 54:23
Lecture 10 | The Fourier Transforms and its Applications 54:58
Lecture 11 | The Fourier Transforms and its Applications 50:56
Lecture 12 | The Fourier Transforms and its Applications 52:56
Lecture 13 | The Fourier Transforms and its Applications 49:25
Lecture 14 | The Fourier Transforms and its Applications 54:00
Lecture 15 | The Fourier Transforms and its Applications 52:09
Lecture 16 | The Fourier Transforms and its Applications 49:43
Lecture 17 | The Fourier Transforms and its Applications 41:13
Lecture 18 | The Fourier Transforms and its Applications 51:10
Lecture 19 | The Fourier Transforms and its Applications 52:06
Lecture 20 | The Fourier Transforms and its Applications 52:53
Lecture 21 | The Fourier Transforms and its Applications 52:59
Lecture 22 | The Fourier Transforms and its Applications 51:16
Lecture 23 | The Fourier Transforms and its Applications 51:04
Lecture 24 | The Fourier Transforms and its Applications 57:05
Lecture 25 | The Fourier Transforms and its Applications 53:17
Lecture 26 | The Fourier Transforms and its Applications 53:56
Lecture 27 | The Fourier Transforms and its Applications 49:57
Lecture 28 | The Fourier Transforms and its Applications 49:07
Lecture 29 | The Fourier Transforms and its Applications 50:06
Lecture 30 | The Fourier Transforms and its Applications 47:09
現代生物科技與社會倫理 (Fall 2013, 趙大衛/中山大學)
# 播放清單 (請按影片的左上角選取)
source: NSYSUOCW 2015年8月25日
國立中山大學開放式課程網址 http://ocw.nsysu.edu.tw
現代生物科技與社會倫理(趙大衛老師) 1課程介紹 33:11
現代生物科技與社會倫理(趙大衛老師) 2你活在「現代」嗎? 1:38:10
現代生物科技與社會倫理(趙大衛老師) 3植物帶有動物基因 23:24
現代生物科技與社會倫理(趙大衛老師) 4耕作防治法 23:29
現代生物科技與社會倫理(趙大衛老師) 5費洛蒙 23:32
現代生物科技與社會倫理(趙大衛老師) 6為何在禽畜飼料中添加抗生素? 23:42
現代生物科技與社會倫理(趙大衛老師) 7分組討論 12:40
現代生物科技與社會倫理(趙大衛老師) 8奧瑞岡辯論規則 1:40:37
現代生物科技與社會倫理(趙大衛老師) 9第一場辯論賽 1:40:21
現代生物科技與社會倫理(趙大衛老師) 10生物科學與醫藥 1:43:34
現代生物科技與社會倫理(趙大衛老師) 11後人類基因體世代 49:59
現代生物科技與社會倫理(趙大衛老師) 12第二場辯論會 1:45:10
現代生物科技與社會倫理(趙大衛老師) 13生殖輔助醫學 1:32:28
現代生物科技與社會倫理(趙大衛老師) 14學生報告 1:41:19
source: NSYSUOCW 2015年8月25日
國立中山大學開放式課程網址 http://ocw.nsysu.edu.tw
現代生物科技與社會倫理(趙大衛老師) 1課程介紹 33:11
現代生物科技與社會倫理(趙大衛老師) 2你活在「現代」嗎? 1:38:10
現代生物科技與社會倫理(趙大衛老師) 3植物帶有動物基因 23:24
現代生物科技與社會倫理(趙大衛老師) 4耕作防治法 23:29
現代生物科技與社會倫理(趙大衛老師) 5費洛蒙 23:32
現代生物科技與社會倫理(趙大衛老師) 6為何在禽畜飼料中添加抗生素? 23:42
現代生物科技與社會倫理(趙大衛老師) 7分組討論 12:40
現代生物科技與社會倫理(趙大衛老師) 8奧瑞岡辯論規則 1:40:37
現代生物科技與社會倫理(趙大衛老師) 9第一場辯論賽 1:40:21
現代生物科技與社會倫理(趙大衛老師) 10生物科學與醫藥 1:43:34
現代生物科技與社會倫理(趙大衛老師) 11後人類基因體世代 49:59
現代生物科技與社會倫理(趙大衛老師) 12第二場辯論會 1:45:10
現代生物科技與社會倫理(趙大衛老師) 13生殖輔助醫學 1:32:28
現代生物科技與社會倫理(趙大衛老師) 14學生報告 1:41:19
中級會計學(一) (林玉華/中山大學)
# 播放清單 (請按影片的左上角選取)
source: NSYSUOCW 2015年8月30日
國立中山大學開放式課程網址 http://ocw.nsysu.edu.tw
中級會計學(一) (林玉華老師) 1 1:05:30
中級會計學(一) (林玉華老師) 2 41:30
中級會計學(一) (林玉華老師) 3 17:39
中級會計學(一) (林玉華老師) 4 30:47
中級會計學(一) (林玉華老師) 5 18:55
中級會計學(一) (林玉華老師) 6 29:17
中級會計學(一) (林玉華老師) 7 31:32
中級會計學(一) (林玉華老師) 8 23:22
中級會計學(一) (林玉華老師) 9 39:36
中級會計學(一) (林玉華老師) 10 36:13
中級會計學(一) (林玉華老師) 11 48:11
中級會計學(一) (林玉華老師) 12 14:20
中級會計學(一) (林玉華老師) 13 33:38
中級會計學(一) (林玉華老師) 14 9:11
中級會計學(一) (林玉華老師) 15 31:18
中級會計學(一) (林玉華老師) 16 27:24
中級會計學(一) (林玉華老師) 17 28:31
中級會計學(一) (林玉華老師) 18 5:56
中級會計學(一) (林玉華老師) 19 23:39
中級會計學(一) (林玉華老師) 20 30:53
中級會計學(一) (林玉華老師) 21 26:52
中級會計學(一) (林玉華老師) 22 31:08
中級會計學(一) (林玉華老師) 23 24:26
中級會計學(一) (林玉華老師) 24 31:08
中級會計學(一) (林玉華老師) 25 28:58
中級會計學(一) (林玉華老師) 26 27:28
中級會計學(一) (林玉華老師) 27 27:00
中級會計學(一) (林玉華老師) 28 28:56
中級會計學(一) (林玉華老師) 29 58:23
中級會計學(一) (林玉華老師) 30 1:00:50
中級會計學(一) (林玉華老師) 31 12:30
中級會計學(一) (林玉華老師) 32 5:31
中級會計學(一) (林玉華老師) 33 26:53
中級會計學(一) (林玉華老師) 34 22:42
中級會計學(一) (林玉華老師) 35 3:54
中級會計學(一) (林玉華老師) 36 25:53
中級會計學(一) (林玉華老師) 37 11:00
中級會計學(一) (林玉華老師) 38 10:42
中級會計學(一) (林玉華老師) 39 27:23
中級會計學(一) (林玉華老師) 40 11:44
中級會計學(一) (林玉華老師) 41 25:49
中級會計學(一) (林玉華老師) 42 24:00
中級會計學(一) (林玉華老師) 43 26:10
中級會計學(一) (林玉華老師) 44 28:10
中級會計學(一) (林玉華老師) 45 30:23
中級會計學(一) (林玉華老師) 46 24:44
中級會計學(一) (林玉華老師) 47 24:36
中級會計學(一) (林玉華老師) 48 15:42
中級會計學(一) (林玉華老師) 49 23:18
中級會計學(一) (林玉華老師) 50 23:19
中級會計學(一) (林玉華老師) 51 5:11
中級會計學(一) (林玉華老師) 52 16:45
中級會計學(一) (林玉華老師) 53 25:51
中級會計學(一) (林玉華老師) 54 29:30
中級會計學(一) (林玉華老師) 55 26:26
中級會計學(一) (林玉華老師) 56 17:43
中級會計學(一) (林玉華老師) 57 31:28
中級會計學(一) (林玉華老師) 58 29:53
中級會計學(一) (林玉華老師) 59 20:09
中級會計學(一) (林玉華老師) 60 29:26
中級會計學(一) (林玉華老師) 61 21:37
中級會計學(一) (林玉華老師) 62 25:46
中級會計學(一) (林玉華老師) 63 8:08
中級會計學(一) (林玉華老師) 64 49:38
中級會計學(一) (林玉華老師) 65 43:51
中級會計學(一) (林玉華老師) 66 23:21
中級會計學(一) (林玉華老師) 67 28:22
中級會計學(一) (林玉華老師) 68 29:44
中級會計學(一) (林玉華老師) 69 17:44
source: NSYSUOCW 2015年8月30日
國立中山大學開放式課程網址 http://ocw.nsysu.edu.tw
中級會計學(一) (林玉華老師) 1 1:05:30
中級會計學(一) (林玉華老師) 2 41:30
中級會計學(一) (林玉華老師) 3 17:39
中級會計學(一) (林玉華老師) 4 30:47
中級會計學(一) (林玉華老師) 5 18:55
中級會計學(一) (林玉華老師) 6 29:17
中級會計學(一) (林玉華老師) 7 31:32
中級會計學(一) (林玉華老師) 8 23:22
中級會計學(一) (林玉華老師) 9 39:36
中級會計學(一) (林玉華老師) 10 36:13
中級會計學(一) (林玉華老師) 11 48:11
中級會計學(一) (林玉華老師) 12 14:20
中級會計學(一) (林玉華老師) 13 33:38
中級會計學(一) (林玉華老師) 14 9:11
中級會計學(一) (林玉華老師) 15 31:18
中級會計學(一) (林玉華老師) 16 27:24
中級會計學(一) (林玉華老師) 17 28:31
中級會計學(一) (林玉華老師) 18 5:56
中級會計學(一) (林玉華老師) 19 23:39
中級會計學(一) (林玉華老師) 20 30:53
中級會計學(一) (林玉華老師) 21 26:52
中級會計學(一) (林玉華老師) 22 31:08
中級會計學(一) (林玉華老師) 23 24:26
中級會計學(一) (林玉華老師) 24 31:08
中級會計學(一) (林玉華老師) 25 28:58
中級會計學(一) (林玉華老師) 26 27:28
中級會計學(一) (林玉華老師) 27 27:00
中級會計學(一) (林玉華老師) 28 28:56
中級會計學(一) (林玉華老師) 29 58:23
中級會計學(一) (林玉華老師) 30 1:00:50
中級會計學(一) (林玉華老師) 31 12:30
中級會計學(一) (林玉華老師) 32 5:31
中級會計學(一) (林玉華老師) 33 26:53
中級會計學(一) (林玉華老師) 34 22:42
中級會計學(一) (林玉華老師) 35 3:54
中級會計學(一) (林玉華老師) 36 25:53
中級會計學(一) (林玉華老師) 37 11:00
中級會計學(一) (林玉華老師) 38 10:42
中級會計學(一) (林玉華老師) 39 27:23
中級會計學(一) (林玉華老師) 40 11:44
中級會計學(一) (林玉華老師) 41 25:49
中級會計學(一) (林玉華老師) 42 24:00
中級會計學(一) (林玉華老師) 43 26:10
中級會計學(一) (林玉華老師) 44 28:10
中級會計學(一) (林玉華老師) 45 30:23
中級會計學(一) (林玉華老師) 46 24:44
中級會計學(一) (林玉華老師) 47 24:36
中級會計學(一) (林玉華老師) 48 15:42
中級會計學(一) (林玉華老師) 49 23:18
中級會計學(一) (林玉華老師) 50 23:19
中級會計學(一) (林玉華老師) 51 5:11
中級會計學(一) (林玉華老師) 52 16:45
中級會計學(一) (林玉華老師) 53 25:51
中級會計學(一) (林玉華老師) 54 29:30
中級會計學(一) (林玉華老師) 55 26:26
中級會計學(一) (林玉華老師) 56 17:43
中級會計學(一) (林玉華老師) 57 31:28
中級會計學(一) (林玉華老師) 58 29:53
中級會計學(一) (林玉華老師) 59 20:09
中級會計學(一) (林玉華老師) 60 29:26
中級會計學(一) (林玉華老師) 61 21:37
中級會計學(一) (林玉華老師) 62 25:46
中級會計學(一) (林玉華老師) 63 8:08
中級會計學(一) (林玉華老師) 64 49:38
中級會計學(一) (林玉華老師) 65 43:51
中級會計學(一) (林玉華老師) 66 23:21
中級會計學(一) (林玉華老師) 67 28:22
中級會計學(一) (林玉華老師) 68 29:44
中級會計學(一) (林玉華老師) 69 17:44
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